4.4 Review

Crowdsourcing citation-screening in a mixed-studies systematic review: a feasibility study

Related references

Note: Only part of the references are listed.
Article Health Care Sciences & Services

Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service

Anna Noel-Storr et al.

Summary: This study assessed the feasibility of using machine learning and crowdsourcing to identify studies for potential inclusion in a systematic review, finding that crowd screening can be accurate as long as the agreement algorithm is robust.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2021)

Review Obstetrics & Gynecology

Training in the use of intrapartum electronic fetal monitoring with cardiotocography: systematic review and meta-analysis

S. Kelly et al.

Summary: This systematic review on training healthcare professionals in intrapartum electronic fetal monitoring found little evidence of impact on neonatal outcomes. More research is needed to improve the evidence base for training in this area.

BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY (2021)

Article Health Care Sciences & Services

An evaluation of Cochrane Crowd found that crowdsourcing produced accurate results in identifying randomized trials

Anna Noel-Storr et al.

Summary: Cochrane Crowd utilizes collective wisdom to identify healthcare-related research, demonstrating good accuracy and processing capacity to deal with the flood of new studies. Contributors from around the world show high engagement and autonomy in this citizen science platform.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2021)

Article Health Care Sciences & Services

Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

James Thomas et al.

Summary: The study developed a machine learning classifier to reduce study identification workload in Cochrane for producing systematic reviews. The calibrated classifier showed high recall in evaluation, with older records more likely to be missed compared to newer records.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2021)

Article Health Care Sciences & Services

Single-reviewer abstract screening missed 13 percent of relevant studies: a crowd -based, randomized controlled trial

Gerald Gartlehner et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2020)

Article Health Care Sciences & Services

Cochrane Centralised Search Service showed high sensitivity identifying randomized controlled trials: A retrospective analysis

A. H. Noel-Storr et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2020)

Article Health Care Sciences & Services

Crowdsourcing the Citation Screening Process for Systematic Reviews: Validation Study

Nassr Nama et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2019)

Review Health Care Sciences & Services

Single screening versus conventional double screening for study selection in systematic reviews: a methodological systematic review

Siw Waffenschmidt et al.

BMC MEDICAL RESEARCH METHODOLOGY (2019)

Article Mathematical & Computational Biology

Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide

Iain J. Marshall et al.

RESEARCH SYNTHESIS METHODS (2018)

Review Education & Educational Research

Crowdsourcing a mixed systematic review on a complex topic and a heterogeneous population: Lessons learned

Mathieu Bujold et al.

EDUCATION FOR INFORMATION (2018)

Review Health Care Sciences & Services

Mapping of Crowdsourcing in Health: Systematic Review

Perrine Crequit et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2018)

Article Computer Science, Information Systems

Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach

Byron C. Wallace et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2017)

Review Mathematical & Computational Biology

An exploration of crowdsourcing citation screening for systematic reviews

Michael L. Mortensen et al.

RESEARCH SYNTHESIS METHODS (2017)

Article Obstetrics & Gynecology

Avoiding the first cesarean section-results of structured organizational and cultural changes

Marie Blomberg

ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA (2016)

Article Computer Science, Information Systems

Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references

Lutz Bornmann et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2015)

Article Public, Environmental & Occupational Health

Crowdsourcing Applications for Public Health

Daren C. Brabham et al.

AMERICAN JOURNAL OF PREVENTIVE MEDICINE (2014)

Review Public, Environmental & Occupational Health

Combining the Power of Stories and the Power of Numbers: Mixed Methods Research and Mixed Studies Reviews

Pierre Pluye et al.

ANNUAL REVIEW OF PUBLIC HEALTH, VOL 35 (2014)

Article Obstetrics & Gynecology

Has the incidence of hypoxic ischaemic encephalopathy in Queensland been reduced with improved education in fetal surveillance monitoring?

Sally Byford et al.

AUSTRALIAN & NEW ZEALAND JOURNAL OF OBSTETRICS & GYNAECOLOGY (2014)

Article Multidisciplinary Sciences

Using Crowdsourcing to Evaluate Published Scientific Literature: Methods and Example

Andrew W. Brown et al.

PLOS ONE (2014)

Article Mathematical & Computational Biology

Assessing intrarater, interrater and test-retest reliability of continuous measurements

V Rousson et al.

STATISTICS IN MEDICINE (2002)