Evidence map›Paper›PMID 15760470›Full record

ArticleBMC medical informatics and decision making2005

askMEDLINE: a free-text, natural language query tool for MEDLINE/PubMed.

Paul Fontelo, Fang Liu, Michael Ackerman

Abstract readEvaluation Study
In one paragraph

Article in BMC medical informatics and decision making, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. A systematic review of healthcare applications for smartphones.BMC medical informatics and decision making · 2012
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. CDAPubMed: a browser extension to retrieve EHR-based biomedical literature.BMC medical informatics and decision making · 2012
    Article
  10. PubMed and beyond: a survey of web tools for searching biomedical literature.Database : the journal of biological databases and curation · 2011
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. askMEDLINE: a report on a year-long experience.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2006
    Article
  16. Review
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

3 authors.

Paul FonteloOffice of High Performance Computing and Communications, National Library of Medicine, 8600 Rockville Pike, Bethesda, Maryland 20894, USA. fontelo@nlm.nih.gov
Fang Liu
Michael Ackerman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlain language search tools for MEDLINE/PubMed are few. We wanted to develop a search tool that would allow anyone using a free-text, natural language query and without knowing specialized vocabularies that an expert searcher might use, to find relevant citations in MEDLINE/PubMed. This tool would translate a question into an efficient search.

resultsThe accuracy and relevance of retrieved citations were compared to references cited in BMJ POEMs and CATs (critically appraised topics) questions from the University of Michigan Department of Pediatrics. askMEDLINE correctly matched the cited references 75.8% in POEMs and 89.2 % in CATs questions on first pass. When articles that were deemed to be relevant to the clinical questions were included, the overall efficiency in retrieving journal articles was 96.8% (POEMs) and 96.3% (CATs.)

conclusionaskMEDLINE might be a useful search tool for clinicians, researchers, and other information seekers interested in finding current evidence in MEDLINE/PubMed. The text-only format could be convenient for users with wireless handheld devices and those with low-bandwidth connections in remote locations.

Indexed as

Natural Language ProcessingAcademic Medical CentersEfficiencyHospitals, PediatricHospitals, UniversityHumansInformation Storage and RetrievalMEDLINEMichiganPubMedSurveys and QuestionnairesUnited StatesUser-Computer Interface

Identifiers

PMID15760470
PMCPMC1079856

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.