Evidence map›Paper›PMID 31258439›Full record

ArticleJournal of the Medical Library Association : JMLA2019

Mind the gap: identifying what is missed when searching only the broad scope with clinical queries.

Edwin Vincent Sperr

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Edwin Vincent SperrClinical Information Librarian, Office of Graduate Medical Education, Augusta University/University of Georgia Medical Partnership, Athens, GA, esperr@uga.edu.ORCID https://orcid.org/0000-0002-8529-8832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe PubMed Clinical Study Category filters are subdivided into "Broad" and "Narrow" versions that are designed to maximize either sensitivity or specificity by using two different sets of keywords and Medical Subject Headings (MeSH). A searcher might assume that all items retrieved by Narrow would also be found by Broad, but there are occasions when some

methodsFor each of the five Clinical Study Categories, PubMed was searched for citations matching the query

resultsThe Clinical Study Category filters for Etiology, Clinical Prediction Guides, Diagnosis, and Prognosis all showed notable numbers of

conclusionsUsers of the Clinical Study Category filters (except for Therapy) should consider combining

Indexed as

Medical Subject HeadingsPubMedSensitivity and SpecificityData CollectionHumansInformation Storage and RetrievalSearch Engine

Identifiers

PMID31258439
PMCPMC6579585

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.