Evidence map›Paper›PMID 25922798›Full record

ArticlePeerJ2015

An experimental search strategy retrieves more precise results than PubMed and Google for questions about medical interventions.

Robert G Badgett, Daniel P Dylla, Susan D Megison, E Glynn Harmon

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Automated Summarization of Publications Associated with Adverse Drug Reactions from PubMed.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016
    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

4 authors.

Robert G BadgettDepartment of Internal Medicine, Kansas University School of Medicine - Wichita , Wichita, KS , USA.
Daniel P DyllaKaty Campus Library, Houston Community College , Houston, TX , USA.
Susan D MegisonNo institutional affiliation , Birmingham, AL , USA.
E Glynn HarmonSchool of Information, University of Texas at Austin , Austin, TX , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective. We compared the precision of a search strategy designed specifically to retrieve randomized controlled trials (RCTs) and systematic reviews of RCTs with search strategies designed for broader purposes. Methods. We designed an experimental search strategy that automatically revised searches up to five times by using increasingly restrictive queries as long at least 50 citations were retrieved. We compared the ability of the experimental and alternative strategies to retrieve studies relevant to 312 test questions. The primary outcome, search precision, was defined for each strategy as the proportion of relevant, high quality citations among the first 50 citations retrieved. Results. The experimental strategy had the highest median precision (5.5%; interquartile range [IQR]: 0%-12%) followed by the narrow strategy of the PubMed Clinical Queries (4.0%; IQR: 0%-10%). The experimental strategy found the most high quality citations (median 2; IQR: 0-6) and was the strategy most likely to find at least one high quality citation (73% of searches; 95% confidence interval 68%-78%). All comparisons were statistically significant. Conclusions. The experimental strategy performed the best in all outcomes although all strategies had low precision.

Indexed as

Evidence-based medicineGoogleInformation retrievalPubMed

Identifiers

PMID25922798
PMCPMC4411517

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.