Evidence map›Paper›PMID 37312801›Full record

ArticleJournal of the Medical Library Association : JMLA2023

Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase.

Marita Heintz, Gyri Hval, Ragnhild Agathe Tornes, Nataliya Byelyey, Elisabet Hafstad, Gunn Eva Næss, Miriam Bakkeli

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marita Heintzmarita.heintz@fhi.no, Head Librarian, Department of Library Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0009-0008-9404-590X
Gyri Hvalgyri.hval@fhi.no, Senior Adviser, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0002-8897-0735
Ragnhild Agathe Tornesragnhildagathe.tornes@fhi.no, Head Librarian, Department of Library Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0002-2466-0308
Nataliya Byelyeynataliya.byelyey@fhi.no, Senior Librarian, Department of Library Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0009-0002-0044-6339
Elisabet Hafstadelisabetvivianne.hafstad@fhi.no, Senior Adviser, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0009-0001-6296-410X
Gunn Eva Næssgunneva.naess@fhi.no, Adviser, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0009-0003-5413-9390
Miriam Bakkeligunneva.naess@fhi.no, Adviser, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0009-0002-6931-8757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to investigate if the included references in a set of completed systematic reviews are indexed in Ovid MEDLINE and Ovid Embase, and how many references would be missed if we were to constrict our literature searches to one of these sources, or the two databases in combination. Methods: We conducted a cross-sectional study where we searched for each included reference (n = 4,709) in 274 reviews produced by the Norwegian Institute of Public Health to find out if the references were indexed in the respective databases. The data was recorded in an Excel spreadsheet where we calculated the indexing rate. The reviews were sorted into eight categories to see if the indexing rate differs from subject to subject. Results: The indexing rate in MEDLINE (86.6%) was slightly lower than in Embase (88.2%). Without the MEDLINE records in Embase, the indexing rate in Embase was 71.8%. The highest indexing rate was achieved by combining both databases (90.2%). The indexing rate was highest in the category "Physical health - treatment" (97.4%). The category "Welfare" had the lowest indexing rate (58.9%). Conclusion: Our data reveals that 9.8% of the references are not indexed in either database. Furthermore, in 5% of the reviews, the indexing rate was 50% or lower.

Indexed as

Academies and InstitutesCross-Sectional StudiesDatabases, FactualMEDLINESystematic Reviews as Topiccross-sectional studydatabasesEmbaseliterature searchMEDLINESystematic reviews

Identifiers

PMID37312801
PMCPMC10259622

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.