Evidence map›Paper›PMID 31033444›Full record

SynthesisJournal of medical Internet research2019

Crowdsourcing the Citation Screening Process for Systematic Reviews: Validation Study.

Nassr Nama, Margaret Sampson, Nicholas Barrowman, Ryan Sandarage, Kusum Menon, Gail Macartney, Kimmo Murto, Jean-Philippe Vaccani, Sherri Katz, Roger Zemek and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Guideline
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  4. Article
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  8. Article
  9. Review
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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

12 authors.

Nassr NamaFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-0199-3599
Margaret SampsonDepartment of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada.ORCID 0000-0003-2550-9893
Nicholas BarrowmanFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-4704-9595
Ryan SandarageFaculty of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-7998-5505
Kusum MenonFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0003-0932-9243
Gail MacartneyDepartment of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada.ORCID 0000-0003-3288-4886
Kimmo MurtoFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-6854-7326
Jean-Philippe VaccaniFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-6695-6732
Sherri KatzFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0003-1879-1990
Roger ZemekFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-7807-2459
Ahmed NasrFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-8410-6352
James Dayre McNallyFaculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-8103-9967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystematic reviews (SRs) are often cited as the highest level of evidence available as they involve the identification and synthesis of published studies on a topic. Unfortunately, it is increasingly challenging for small teams to complete SR procedures in a reasonable time period, given the exponential rise in the volume of primary literature. Crowdsourcing has been postulated as a potential solution.

objectiveThe feasibility objective of this study was to determine whether a crowd would be willing to perform and complete abstract and full text screening. The validation objective was to assess the quality of the crowd's work, including retention of eligible citations (sensitivity) and work performed for the investigative team, defined as the percentage of citations excluded by the crowd.

methodsWe performed a prospective study evaluating crowdsourcing essential components of an SR, including abstract screening, document retrieval, and full text assessment. Using CrowdScreenSR citation screening software, 2323 articles from 6 SRs were available to an online crowd. Citations excluded by less than or equal to 75% of the crowd were moved forward for full text assessment. For the validation component, performance of the crowd was compared with citation review through the accepted, gold standard, trained expert approach.

resultsOf 312 potential crowd members, 117 (37.5%) commenced abstract screening and 71 (22.8%) completed the minimum requirement of 50 citation assessments. The majority of participants were undergraduate or medical students (192/312, 61.5%). The crowd screened 16,988 abstracts (median: 8 per citation; interquartile range [IQR] 7-8), and all citations achieved the minimum of 4 assessments after a median of 42 days (IQR 26-67). Crowd members retrieved 83.5% (774/927) of the articles that progressed to the full text phase. A total of 7604 full text assessments were completed (median: 7 per citation; IQR 3-11). Citations from all but 1 review achieved the minimum of 4 assessments after a median of 36 days (IQR 24-70), with 1 review remaining incomplete after 3 months. When complete crowd member agreement at both levels was required for exclusion, sensitivity was 100% (95% CI 97.9-100) and work performed was calculated at 68.3% (95% CI 66.4-70.1). Using the predefined alternative 75% exclusion threshold, sensitivity remained 100% and work performed increased to 72.9% (95% CI 71.0-74.6; P<.001). Finally, when a simple majority threshold was considered, sensitivity decreased marginally to 98.9% (95% CI 96.0-99.7; P=.25) and work performed increased substantially to 80.4% (95% CI 78.7-82.0; P<.001).

conclusionsCrowdsourcing of citation screening for SRs is feasible and has reasonable sensitivity and specificity. By expediting the screening process, crowdsourcing could permit the investigative team to focus on more complex SR tasks. Future directions should focus on developing a user-friendly online platform that allows research teams to crowdsource their reviews.

Indexed as

CrowdsourcingHumansMass ScreeningResearch DesignValidation Studies as Topiccrowdsourcingmeta-analysis as topicresearch designsystematic reviews as topic

Identifiers

PMID31033444
PMCPMC6658317

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.