Concept Architecture
Bibliographic Database in Health Technology Assessment
A bibliographic database holds one record per publication, giving the citation, usually an abstract and a set of subject terms, and reviewers search it to find reports of studies rather than the study data themselves. MEDLINE, Embase and the Cochrane Central Register of Controlled Trials (CENTRAL) are the main general sources for trials, and health economists add economic sources such as the NHS Economic Evaluation Database (NHS EED) archive and the Tufts CEA Registry. In health technology assessment, many inputs, from treatment effects to health state utility values and published cost-effectiveness studies, are found this way. Which databases are searched, and how well the strategy fits each one's indexing, decides which studies a committee ever sees.
How a database record is built and indexed
The Cochrane Handbook notes that MEDLINE and Embase include abstracts for most recent records and can be searched both by words in the title or abstract and by the controlled vocabulary assigned to each record. Indexers or automated methods choose those terms from a thesaurus.
MEDLINE is the US National Library of Medicine's bibliographic database, and its records are indexed with Medical Subject Headings (MeSH), a controlled and hierarchically organised vocabulary. Embase uses its own thesaurus, Emtree. Because one study can produce several reports, the Handbook treats studies, not reports, as the unit of interest in a systematic review, and linking a conference abstract, main paper and follow-up of the same trial belongs to data extraction and the evidence table.
Databases searched for clinical and economic evidence
Database choice follows the review question, and an HTA usually needs several. General biomedical databases carry most reports of trials, while specialist sources hold economic evaluations, utility weights and earlier assessments.
| Database | What it holds | Main use in HTA searching |
|---|---|---|
| MEDLINE, free through PubMed | Journal articles in biomedicine and health, indexed with MeSH | Effectiveness, utility, cost and economic studies |
| Embase | All MEDLINE records plus over 10 million from about 3,000 journals not in MEDLINE, indexed with Emtree | Searched alongside MEDLINE |
| CENTRAL, in the Cochrane Library | Reports of randomised trials, including conference and trials register records | Trial evidence for effectiveness |
| CINAHL, APA PsycInfo, LILACS | Nursing and allied health, psychology and psychiatry, Latin American and Caribbean literature | Topic and regional coverage |
| NHS EED, from CRD | Over 17,000 economic evaluations, with critical abstracts for those of importance to the NHS | Archive of economic evaluations to 2014 |
| HTA database, from INAHTA | Brief details of completed and ongoing HTA reports from around the world | Earlier assessments of the same technology |
| CEA Registry, from Tufts CEVR | More than 10,000 cost-utility analyses since 1976, with ratios and utility weights | Published ICERs and utility weights |
PubMed also carries citations not yet indexed for MEDLINE, so MeSH alone misses the newest records, and PRISMA-S notes that the platform, such as Ovid or EBSCOhost, can change what is retrieved.
The economic sources have limits of their own. NHS EED was funded from 1994 to March 2015, with its searches run until the end of 2014 and its last records published on 31 March 2015. The HTA database is now produced by INAHTA, and the CRD copy has taken no new records since 31 March 2018. The CEA Registry admits only original analyses that measure benefit in QALYs and excludes HTA reports, cost-benefit analyses and systematic reviews, so it covers cost-utility analyses, not all economic evaluation.
Controlled vocabulary and free text in the search strategy
A search strategy combines two retrieval approaches. The Cochrane Handbook makes it mandatory for Cochrane reviews to identify controlled vocabulary, including exploded terms, together with free-text terms that allow for spelling variants, synonyms, acronyms, truncation and proximity. Exploding a heading retrieves records indexed with that heading and with the narrower headings below it in the thesaurus.
The thesauri differ, so a strategy cannot be moved between databases unchanged. CRD's guidance gives the example of pressure sores, indexed under the MeSH term pressure ulcer in MEDLINE and the Emtree term decubitus in Embase. Free text stays necessary because new records may not yet carry subject terms and some study types are indexed unreliably. The NICE manual (PMG36) says filters should not be used to narrow searches for diagnostic test accuracy studies, because such studies are often poorly indexed.
Why reviews search more than one database
The Cochrane Handbook states that searching two or more databases lowers the risk of missing eligible studies, and that studies comparing MEDLINE and Embase have generally concluded that a comprehensive search needs both. For Cochrane intervention reviews, searching CENTRAL, MEDLINE and Embase (where Embase is available) is mandatory, and searching subject-specific and regional databases such as CINAHL is highly desirable.
In a study of 58 published systematic reviews, Bramer and colleagues found that 16% of included references were found in only one database, with Embase contributing the most unique references. The Handbook also reports work in which 75% to 92% of included studies could be found through PubMed, with little effect on meta-analyses from adding the rest. It concludes that abbreviated searches may suit rapid evidence syntheses, while decisions demanding high certainty require comprehensive searches.
What NICE and CRD guidance expect in technology appraisal
NICE's manual (PMG36) asks for evidence on outcomes to come from a systematic review and for every record retrieved by the search to be assessed by more than one reviewer. For published economic evaluations the stopping rule differs, as searches should be transparent and reproducible and run until sufficient relevant evidence is found, without needing to be exhaustive if further studies would only confirm it. When EQ-5D data are taken from the literature, the methods for identifying them should be systematic and transparent, and the methods for finding cost sources should be defined, preferably through systematic review.
The company evidence submission template (PMG24) turns these into reporting duties. For clinical evidence it asks for a full list of information sources and the full electronic search strategies for all databases, including limits, in enough detail to reproduce the results. Separate appendices ask how cost-effectiveness studies, health-related quality of life data and cost and resource use data were searched for, in enough detail to be reproduced, with the search strategy supplied for quality of life and cost data. PRISMA-S adds that each database should be named with its platform, each strategy copied exactly as run and the deduplication process described.
Search filters for economic evaluations and utility studies
A search filter is a tested set of terms designed to retrieve one type of record, such as randomised trials or economic evaluations, and is combined with the topic terms. CRD's guidance notes that a specialist economic database needs only subject terms, while a MEDLINE or Embase search must add economic terms. For a brief economic commentary, Cochrane's economic evidence chapter recommends searching NHS EED and, for full economic evaluations, applying specialist filters in general databases from 1 January 2014, since NHS EED stopped being updated at the end of 2014.
The InterTASC Information Specialists' Sub-Group (ISSG) Search Filter Resource lists published filters for economic evaluations and utility values, without endorsing them, and warns that older filters should be checked against current indexing. Filter studies show the trade-off between sensitivity and precision. Glanville and colleagues tested filters against 2,070 full economic evaluations from NHS EED and found several with sensitivity above 0.99 in MEDLINE and Embase, but with low precision, perhaps 5 relevant records per 100 scanned. A NICE team built paired MEDLINE and Embase filters for cost-utility studies, whose sensitive pair reached 100% recall in validation and was estimated to cut screening by a factor of 5 against the broad economic search NICE had used for its guidelines. Arber and colleagues validated MEDLINE filters for utility studies with sensitivities of 88% to 95%.
Worked example adding Embase to a MEDLINE search for utility studies
All numbers in this example are illustrative. A modelling team needs utility values and judges its searches against a reference set of 40 eligible studies, using the Cochrane Handbook's definitions of sensitivity, also called recall, and precision.
where is the number of relevant records retrieved, the number of relevant records missed, the number of irrelevant records retrieved, the sensitivity, the precision and the number of records screened per relevant record found.
The MEDLINE strategy retrieves 1,200 records containing 30 of the 40 studies, and the Embase strategy 1,800 records containing 34. After deduplication, 900 records appear in both, including 26 of the relevant studies, so the combined set holds 1,200 plus 1,800 minus 900, or 2,100 records, and 30 plus 34 minus 26, or 38 relevant studies.
| Search | Records screened | Relevant found | Sensitivity | Precision | Number needed to read |
|---|---|---|---|---|---|
| MEDLINE alone | 1,200 | 30 | 0.75 | 0.025 | 40.0 |
| Embase alone | 1,800 | 34 | 0.85 | 0.019 | 52.9 |
| MEDLINE and Embase | 2,100 | 38 | 0.95 | 0.018 | 55.3 |
Adding Embase costs 900 more records for 8 more studies, or 112.5 records per extra study. The Handbook puts screening at a conservative 60 to 120 abstracts an hour, so the extra records take about 7.5 to 15 hours. If one of the 8 studies is the only source of utility values for a health state in the model, a MEDLINE search alone would have left that input to assumption or to a less relevant source.
Boundaries with nearby concepts
A literature search is the process, a search strategy is the set of terms, limits and filters, and the bibliographic database is the source the strategy is run against. Administrative and claims databases hold records of patients' care and are analysed as data, whereas a bibliographic database describes publications and the data stay in the reports. Cochrane treats trials registers, such as ClinicalTrials.gov, as a separate mandatory source, and lists grey literature and the reference lists of included studies as further sources.
Limitations and common misreadings
A database search finds what has been published and indexed. NICE's manual asks for attempts to find evidence not in the public domain, such as unpublished trial data, and the Cochrane Handbook notes that removing language limits in English-language databases is no substitute for searching non-English journals and databases.
A total of records retrieved is not a number of studies, since the same report appears in several databases and the same study in several reports, and low precision is expected in a sensitive search. A filter's published sensitivity applies to the database, platform and indexing it was tested on, and archive sources such as NHS EED describe the literature only up to their closing date.
Sources
- Lefebvre C, Glanville J, Briscoe S, et al. Chapter 4: Searching for and selecting studies (last updated March 2025). In: Higgins JPT, Thomas J, et al, editors. Cochrane Handbook for Systematic Reviews of Interventions, version 6.5.1. Cochrane; 2025. https://www.cochrane.org/authors/handbooks-and-manuals/handbook/current/chapter-04
- Aluko P, Graybill E, Craig D, et al. Chapter 20: Economic evidence (last updated August 2023). In: Higgins JPT, Thomas J, et al, editors. Cochrane Handbook for Systematic Reviews of Interventions, version 6.5. Cochrane; 2024. https://www.cochrane.org/authors/handbooks-and-manuals/handbook/current/chapter-20
- Centre for Reviews and Dissemination. Systematic Reviews: CRD's guidance for undertaking reviews in health care. York: University of York; 2009. https://www.york.ac.uk/media/crd/newpagesspring2025/Systematic_Reviews_CRD_guidance.pdf
- Centre for Reviews and Dissemination. CRD Database, About the databases and News (2015, 2018). https://www.crd.york.ac.uk/CRDWeb/AboutPage.asp
- National Institute for Health and Care Excellence. NICE technology appraisal and highly specialised technologies guidance: the manual (PMG36). London: NICE; 2022, last updated 13 October 2026. https://www.nice.org.uk/process/pmg36
- National Institute for Health and Care Excellence. Single technology appraisal and highly specialised technologies evaluation: user guide for company evidence submission template (PMG24), appendices B, E, F and G. London: NICE; 2015, last updated 31 March 2026. https://www.nice.org.uk/process/pmg24
- US National Library of Medicine. About MEDLINE (last reviewed 2025); Medical Subject Headings. https://www.nlm.nih.gov/medline/medline_overview.html
- Center for the Evaluation of Value and Risk in Health. Cost-Effectiveness Analysis (CEA) Registry. Tufts Medical Center; accessed 2026. https://cevr.tuftsmedicalcenter.org/databases/cea-registry
- InterTASC Information Specialists' Sub-Group. ISSG Search Filters Resource. Accessed 2026. https://sites.google.com/a/york.ac.uk/issg-search-filters-resource/home
- Rethlefsen ML, Kirtley S, Waffenschmidt S, et al. PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews. Syst Rev. 2021;10:39. https://doi.org/10.1186/s13643-020-01542-z
- Bramer WM, Rethlefsen ML, Kleijnen J, Franco OH. Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study. Syst Rev. 2017;6:245. https://doi.org/10.1186/s13643-017-0644-y
- Glanville J, Kaunelis D, Mensinkai S. How well do search filters perform in identifying economic evaluations in MEDLINE and EMBASE. Int J Technol Assess Health Care. 2009;25(4):522-529. https://doi.org/10.1017/S0266462309990523
- Hubbard W, Walsh N, Hudson T, et al. Development and validation of paired MEDLINE and Embase search filters for cost-utility studies. BMC Med Res Methodol. 2022;22:310. https://doi.org/10.1186/s12874-022-01796-2
- Arber M, Garcia S, Veale T, et al. Performance of Ovid MEDLINE search filters to identify health state utility studies. Int J Technol Assess Health Care. 2017;33(4):472-480. https://doi.org/10.1017/S0266462317000897
Related Concepts (2)
Institutional Perspectives (2)
- IQWiG
Database Selection, Search Strategies and Search Documentation
IQWiG's General Methods treat bibliographic databases, alongside trial registries, as a main source of study results. Citing the Cochrane Handbook, they name MEDLINE, Embase and CENTRAL as the 3 most important databases, though a search may justifiably be limited to MEDLINE and CENTRAL depending on the question. Strategies combine subject headings and free-text terms and are quality assured with the PRESS checklist before searching, and reports document the databases, providers and interfaces, search period, last search date and full strategies with all limits.
IQWiG, General Methods, Version 8.0 of 19 December 2025 (English translation), section 9.1.1View source → - NICE
Reproducible Database Searches in Company Evidence Submissions
NICE's user guide for company evidence submissions expects a systematic literature search in line with the systematic review sections of its methods manual. Companies must report enough detail for the results to be reproduced, including a full list of information sources and the full electronic search strategies for all databases, with any limits applied. Searches for published cost-effectiveness studies must also be described in enough detail to be reproduced, with the rationale for inclusion and exclusion criteria.
NICE, Single technology appraisal and highly specialised technologies evaluation: User guide for company evidence submission template (PMG24), appendices B and E, last updated 31 March 2026View source →
Library
Publications
13
Cumulative meta-analysis of therapeutic trials for myocardial infarction — Lau J, Antman EM, Jimenez-Silva J, Kupelnick B, Mosteller F, Chalmers TC, Vol. 327, No. 4, pp. 248-254 ed., 1992 (New England Journal of Medicine)
Journal article listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Cumulative Meta-Analysis, where it is cited as a reference for that concept.
Journal ArticleView source →Performance of Ovid MEDLINE search filters to identify health state utility studies — Arber M, Garcia S, Veale T, et al, Vol. 33, No. 4, pp. 472-480 ed., 2017 (International Journal of Technology Assessment in Health Care)
Journal article listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Journal ArticleView source →Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study — Bramer WM, Rethlefsen ML, Kleijnen J, Franco OH, Vol. 6, Article 245 ed., 2017 (Systematic Reviews)
Journal article listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Journal ArticleView source →Care Act 2014, c. 23, section 10 (Assessment of a carer's needs for support) — Centre for Reviews and Dissemination, 2014 (legislation.gov.uk)
Source listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Carer, where it is cited as a reference for that concept.
Web (Open Access)View source →Medication guides: patient medication information. Proposed rule — Food and Drug Administration, Vol. 88, No. 104, p. 35694 ed., 2023 (Federal Register)
Source listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Patient Information Leaflet, where it is cited as a reference for that concept.
Web (Open Access)View source →Using the net benefit regression framework to construct cost-effectiveness acceptability curves — Hoch JS, Rockx MA, Krahn AD, Vol. 6, Article 68 ed., 2006 (BMC Health Services Research)
Journal article listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Multiple Regression, where it is cited as a reference for that concept.
Journal ArticleView source →Is there a technological imperative in health care? — Hofmann B, Vol. 18, No. 3, pp. 675-689 ed., 2002 (International Journal of Technology Assessment in Health Care)
Journal article listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Technological Imperative, where it is cited as a reference for that concept.
Journal ArticleView source →Supporting adult carers (NG150) — National Institute for Health and Care Excellence, 2020 (National Institute for Health and Care Excellence)
Guidance document listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Carer, where it is cited as a reference for that concept.
Web (Open Access)View source →The Human Medicines Regulations 2012 (SI 2012/1916), Part 13, regulations 259, 260 and 267 — US National Library of Medicine, 2012 (legislation.gov.uk)
Source listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Patient Information Leaflet, where it is cited as a reference for that concept.
Web (Open Access)View source →Chapter 4: Searching for and selecting studies (last updated March 2025) — Lefebvre C, Glanville J, Briscoe S, et al, Version 6.5.1 ed., 2025 (Cochrane Handbook for Systematic Reviews of Interventions)
Book or book chapter listed in the Sources of the HealthEconomics.wiki Concept Architecture articles on Language Bias, Kappa Statistic and Bibliographic Database, where it is cited as a reference for that concept.
BookView source →How well do search filters perform in identifying economic evaluations in MEDLINE and EMBASE — Glanville J, Kaunelis D, Mensinkai S, Vol. 25, No. 4, pp. 522-529 ed., 2009 (International Journal of Technology Assessment in Health Care)
Journal article listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Journal ArticleView source →Development and validation of paired MEDLINE and Embase search filters for cost-utility studies — Hubbard W, Walsh N, Hudson T, et al, Vol. 22, Article 310 ed., 2022 (BMC Medical Research Methodology)
Journal article listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Journal ArticleView source →PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews — Rethlefsen ML, Kirtley S, Waffenschmidt S, et al, Vol. 10, Article 39 ed., 2021 (Systematic Reviews)
Journal article listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Journal ArticleView source →
Tools & Resources
4
Cost-Effectiveness Analysis (CEA) Registry — Center for the Evaluation of Value and Risk in Health, 2026 (Center for the Evaluation of Value and Risk in Health)
Source listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Web (Open Access)View source →CRD Database, About the databases and News (2015, 2018) — Centre for Reviews and Dissemination, 2015 (Centre for Reviews and Dissemination)
Source listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Web (Open Access)View source →ISSG Search Filters Resource — InterTASC Information Specialists' Sub-Group, 2026 (InterTASC Information Specialists' Sub-Group)
Source listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Web (Open Access)View source →About MEDLINE (last reviewed 2025); Medical Subject Headings — US National Library of Medicine, 2025 (US National Library of Medicine)
Source listed in the Sources of the HealthEconomics.wiki Concept Architecture article on Bibliographic Database, where it is cited as a reference for that concept.
Web (Open Access)View source →
Frequently Asked Questions (6)
What is a bibliographic database?
A bibliographic database is an indexed set of records describing published research, such as MEDLINE or Embase, searched to find studies for reviews.
Source: Lefebvre et al. 2025
Which bibliographic databases should a systematic review for HTA search?
For Cochrane intervention reviews, searching CENTRAL, MEDLINE and Embase, where Embase is available, is mandatory, and searching subject-specific and regional databases such as CINAHL is highly desirable. The Cochrane Handbook states that searching two or more databases lowers the risk of missing eligible studies, and that studies comparing MEDLINE and Embase have generally concluded a comprehensive search needs both. Embase now includes all MEDLINE records plus more than 10 million records from about 3,000 journals not indexed in MEDLINE. Abbreviated searches may suit rapid evidence syntheses, while decisions demanding high certainty require comprehensive searches.
Source: Lefebvre et al. 2025
How do controlled vocabulary and free text work together when searching a bibliographic database?
Indexers or automated methods assign each record subject terms from a thesaurus, such as Medical Subject Headings (MeSH) in MEDLINE and Emtree in Embase. The Cochrane Handbook makes it mandatory for Cochrane reviews to combine controlled vocabulary, including exploded terms, with free-text terms that allow for spelling variants, synonyms, acronyms, truncation and proximity. The thesauri and their indexing approaches differ, so each strategy has to be customised for the database it runs on. Free text stays necessary because the newest records, such as PubMed citations not yet indexed for MEDLINE, may not carry subject terms.
Source: Lefebvre et al. 2025
Which bibliographic databases does Cochrane recommend for finding economic evaluations?
Cochrane's chapter on economic evidence recommends searching the NHS Economic Evaluation Database (NHS EED) with terms for the intervention, and possibly the comparator, when a review includes a brief economic commentary. NHS EED stopped being updated at the end of 2014, so it holds no later studies. For full economic evaluations published since then, the chapter recommends applying specialist search filters, from 1 January 2014, to records retrieved from one or two general biomedical databases. A search filter is a tested set of terms, combined with the topic terms, that is designed to retrieve one type of study.
Source: Aluko et al. 2023
What does the NICE manual expect from bibliographic database searches in technology appraisal?
NICE's manual (PMG36) asks for evidence on outcomes to come from a systematic review and for every record retrieved by the search strategy to be assessed by more than one reviewer. Searches for published economic evaluations follow a different stopping rule, as they should be transparent and reproducible and continue until sufficient relevant evidence has been identified. They need not be exhaustive if further studies would only add support consistent with the evidence already found. The manual also asks for attempts to identify evidence not in the public domain, such as unpublished clinical trial data, which a database search cannot reach.
Source: NICE PMG36 (2022, updated 2026)
How well do search filters for economic evaluations perform in a bibliographic database?
Glanville and colleagues tested published filters against 2,070 full economic evaluations identified from NHS EED. Several filters reached sensitivity above 0.99 in MEDLINE and in Embase, but precision was low, with perhaps 5 relevant records for every 100 scanned. A sensitive filter therefore leaves a large screening load, and low precision is expected rather than a sign of a faulty search. Published performance applies to the database, platform and indexing on which a filter was tested, so older filters need checking against current subject indexing before use.
Source: Glanville, Kaunelis & Mensinkai 2009
Trust Record
Verified by Dr Darrin Baines
British health economist
Professional identity: darrinbaines.org
Verification date: 14 Oct 2026
Content version: 1.0.1
Canonical Identity
- Term code
- HE-ES-ES-048
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