Evidence map›Paper›PMID 37202770›Full record

ArticleSystematic reviews2023

Are COVID-19 systematic reviews up to date and can we tell? A cross-sectional study.

Steve McDonald, Simon L Turner, Phi-Yen Nguyen, Matthew J Page, Tari Turner

Abstract read
In one paragraph

Article in Systematic reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Steve McDonaldCochrane Australia, School of Public Health and Preventive Medicine, Monash University, Melbourne, 553 St. Kilda Road, Melbourne, VIC, 3004, Australia. steve.mcdonald@monash.edu.ORCID 0000-0003-2832-5205
Simon L TurnerMethods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, 553 St. Kilda Road, Melbourne, VIC, 3004, Australia.
Phi-Yen NguyenMethods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, 553 St. Kilda Road, Melbourne, VIC, 3004, Australia.
Matthew J PageMethods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, 553 St. Kilda Road, Melbourne, VIC, 3004, Australia.
Tari TurnerCochrane Australia, School of Public Health and Preventive Medicine, Monash University, Melbourne, 553 St. Kilda Road, Melbourne, VIC, 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 led to a rapid acceleration in the number of systematic reviews. Readers need to know how up to date evidence is when selecting reviews to inform decisions. This cross-sectional study aimed to evaluate how easily the currency of COVID-19 systematic reviews published early in the pandemic could be determined and how up to date these reviews were at the time of publication.

methodsWe searched for systematic reviews and meta-analyses relevant to COVID-19 added to PubMed in July 2020 and January 2021, including any that were first published as preprints. We extracted data on the date of search, number of included studies, and date first published online. For the search date, we noted the format of the date and where in the review this was reported. A sample of non-COVID-19 systematic reviews from November 2020 served as a comparator.

resultsWe identified 246 systematic reviews on COVID-19. In the abstract of these reviews, just over half (57%) reported the search date (day/month/year or month/year) while 43% failed to report any date. When the full text was considered, the search date was missing from 6% of reviews. The median time from last search to publication online was 91 days (IQR 63-130). Time from search to publication was similar for the subset of 15 rapid or living reviews (92 days) but shorter for the 29 reviews published as preprints (37 days). The median number of studies or publications included per review was 23 (IQR 12-40). In the sample of 290 non-COVID SRs, around two-thirds (65%) reported the search date while a third (34%) did not include any date in the abstract. The median time from search to publication online was 253 days (IQR 153-381) and each review included a median of 12 studies (IQR 8-21).

conclusionsDespite the context of the pandemic and the need to easily ascertain the currency of systematic reviews, reporting of the search date information for COVID-19 reviews was inadequate. Adherence to reporting guidelines would improve the transparency and usefulness of systematic reviews to users.

Indexed as

COVID-19Cross-Sectional StudiesHumansSystematic Reviews as TopicCOVID-19Search reportingSystematic reviews

Identifiers

PMID37202770
PMCPMC10193307

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.