Evidence map›Paper›PMID 36907858›Full record

ArticleBMC medical research methodology2023

Measuring the impact of zero-cases studies in evidence synthesis practice using the harms index and benefits index (Hi-Bi).

Chang Xu, Luis Furuya-Kanamori, Lifeng Lin, Liliane Zorzela, Tianqi Yu, Sunita Vohra

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Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 96% of its field
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, 0 citations in OpenAlex.

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

6 authors at 5 institutions in 6 countries.

Chang XuKey Laboratory for Population Health Across-Life Cycle (Anhui Medical University), Ministry of Education, Anhui, China. xuchang2016@runbox.com.
Luis Furuya-KanamoriSchool of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia.
Lifeng LinDepartment of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA.
Liliane ZorzelaDepartment of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada.
Tianqi YuResearch Center of Epidemiology and Statistics (CRESS-U1153), INSERM, Université Paris Cité, Paris, France.
Sunita VohraDepartment of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada.
University of Alberta · CAInserm · FRMinistry of Education · KNThe University of Queensland · AUUniversity of Arizona · US

Funding

Australian National Health and Medical Research Council Fellowship APP1158469National Natural Science Foundation of China 72204003Seed fund for talented earlier researchers from Anhui Medical University 9021783201
6 · The paper itself

Abstract

objectivesIn evidence synthesis practice, dealing with studies with no cases in both arms has been a tough problem, for which there is no consensus in the research community. In this study, we propose a method to measure the potential impact of studies with no cases for meta-analysis results which we define as harms index (Hi) and benefits index (Bi) as an alternative solution for deciding how to deal with such studies.

methodsHi and Bi are defined by the minimal number of cases added to the treatment arm (Hi) or control arm (Bi) of studies with no cases in a meta-analysis that lead to a change of the direction of the estimates or its statistical significance. Both exact and approximating methods are available to calculate Hi and Bi. We developed the "hibi" module in Stata so that researchers can easily implement the method. A real-world investigation of meta-analyses from Cochrane reviews was employed to evaluate the proposed method.

resultsBased on Hi and Bi, our results suggested that 21.53% (Hi) to 26.55% (Bi) of Cochrane meta-analyses may be potentially impacted by studies with no cases, for which studies with no cases could not be excluded from the synthesis. The approximating method shows excellent specificity (100%) for both Hi and Bi, moderate sensitivity (68.25%) for Bi, and high sensitivity (80.61%) for Hi compared to the exact method.

conclusionsThe proposed method is practical and useful for systematic reviewers to measure whether studies with no cases impact the results of meta-analyses and may act as an alternative solution for review authors to decide whether to include studies with no events for the synthesis or not.

Indexed as

Benefits indexEvidence-synthesis practiceRobustness of the resultsZero-events studies; harms index

Identifiers

PMID36907858
PMCPMC10010026
OpenAlexW4324019806

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Textfull text, public
LicenceCC BY
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table measurements read5
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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.