Evidence map›Paper›PMID 25274020›Full record

ArticleJournal of medical Internet research2014

Automatic evidence retrieval for systematic reviews.

Miew Keen Choong, Filippo Galgani, Adam G Dunn, Guy Tsafnat

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. The Health and Physical Education Curriculum: Does It Address Muscular Fitness?Journal of functional morphology and kinesiology · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Determinants of Health and Performance in Wildland Firefighters: A Narrative Review.Journal of functional morphology and kinesiology · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Scientific Publishing in Biomedicine: Information Literacy.International journal of endocrinology and metabolism · 2022
    Review
  19. Article
  20. 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.

Miew Keen ChoongCentre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales, Kensington NSW, Australia.ORCID http://orcid.org/0000-0003-0352-5585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSnowballing involves recursively pursuing relevant references cited in the retrieved literature and adding them to the search results. Snowballing is an alternative approach to discover additional evidence that was not retrieved through conventional search. Snowballing's effectiveness makes it best practice in systematic reviews despite being time-consuming and tedious.

objectiveOur goal was to evaluate an automatic method for citation snowballing's capacity to identify and retrieve the full text and/or abstracts of cited articles.

methodsUsing 20 review articles that contained 949 citations to journal or conference articles, we manually searched Microsoft Academic Search (MAS) and identified 78.0% (740/949) of the cited articles that were present in the database. We compared the performance of the automatic citation snowballing method against the results of this manual search, measuring precision, recall, and F1 score.

resultsThe automatic method was able to correctly identify 633 (as proportion of included citations: recall=66.7%, F1 score=79.3%; as proportion of citations in MAS: recall=85.5%, F1 score=91.2%) of citations with high precision (97.7%), and retrieved the full text or abstract for 490 (recall=82.9%, precision=92.1%, F1 score=87.3%) of the 633 correctly retrieved citations.

conclusionsThe proposed method for automatic citation snowballing is accurate and is capable of obtaining the full texts or abstracts for a substantial proportion of the scholarly citations in review articles. By automating the process of citation snowballing, it may be possible to reduce the time and effort of common evidence surveillance tasks such as keeping trial registries up to date and conducting systematic reviews.

Indexed as

Databases, FactualEvidence-Based MedicineHumansInformation Storage and RetrievalMedical InformaticsRegistriesReview Literature as Topicevidence-based medicineinformation storage and retrievalmedical informatics

Identifiers

PMID25274020
PMCPMC4211030

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.