Evidence map›Paper›PMID 36289496›Full record

SynthesisBMC medical research methodology2022

How can clinicians choose between conflicting and discordant systematic reviews? A replication study of the Jadad algorithm.

C Lunny, Sai Surabi Thirugnanasampanthar, S Kanji, N Ferri, D Pieper, S Whitelaw, S Tasnim, H Nelson, E K Reid, Jia He Janet Zhang and 10 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical research methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 6 pooled it
3.5field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 6 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  3. StandardizedFrontiers in pharmacology · 2025
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  6. Effects ofFrontiers in pharmacology · 2024
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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

20 authors at 10 institutions in 4 countries.

C LunnyUnity Health Toronto and the Cochrane Hypertension Review Group, St Michael's Hospital, University of British Columbia, V6T 1Z3, Vancouver, BC, Canada. carole.lunny@ubc.ca.ORCID 0000-0002-7825-6765
Sai Surabi ThirugnanasampantharEpidemiology Division, Institute for Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
S KanjiThe Ottawa Hospital, Ottawa Hospital Research Institute, Ottawa, Canada.ORCID 0000-0003-0594-0360
N FerriDivision of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.ORCID 0000-0002-8563-9967
D PieperFaculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Institute for Health Services and Health System Research, Rüdersdorf, Germany.ORCID 0000-0002-0715-5182
S WhitelawFaculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
S TasnimCochrane Hypertension Review Group, University of British Columbia, 2176 Health Science Mall, Vancouver, BC, V6T 1Z3, Canada.
H NelsonFaculty of Health Sciences, Queen's University, Kingston, ON, Canada.ORCID 0000-0001-8306-5448
E K ReidNova Scotia Health, Halifax, NS, Canada.
Jia He Janet ZhangFaculty of Science, University of British Columbia, Vancouver, BC, Canada.
Banveer KalkatFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Yuan ChiBeijing Yealth Technology Co., Ltd, Beijing, China.
Reema AbdoulrezzakFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Di Wen ZhengFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Lindy R S PangkaFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Dian Xin Ran WangFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Parisa SafaviFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Anmol SoochFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Kevin T KangFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Andrea C TriccoKnowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, 209 Victoria St, M5B 1T8, Toronto, ON, Canada.ORCID 0000-0002-4114-8971
University of British Columbia · CASt. Michael's Hospital · CAAzienda USL di Bologna · ITCochrane · GBMcGill University Health Centre · CAMedizinische Hochschule Brandenburg Theodor Fontane · DENova Scotia Health Authority · CAOttawa Hospital · CAQueen's University · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe exponential growth of published systematic reviews (SRs) presents challenges for decision makers seeking to answer clinical, public health or policy questions. In 1997, an algorithm was created by Jadad et al. to choose the best SR across multiple. Our study aims to replicate author assessments using the Jadad algorithm to determine: (i) if we chose the same SR as the authors; and (ii) if we reach the same results.

methodsWe searched MEDLINE, Epistemonikos, and Cochrane Database of SRs. We included any study using the Jadad algorithm. We used consensus building strategies to operationalise the algorithm and to ensure a consistent approach to interpretation.

resultsWe identified 21 studies that used the Jadad algorithm to choose one or more SRs. In 62% (13/21) of cases, we were unable to replicate the Jadad assessment and ultimately chose a different SR than the authors. Overall, 18 out of the 21 (86%) independent Jadad assessments agreed in direction of the findings despite 13 having chosen a different SR.

conclusionsOur results suggest that the Jadad algorithm is not reproducible between users as there are no prescriptive instructions about how to operationalise the algorithm. In the absence of a validated algorithm, we recommend that healthcare providers, policy makers, patients and researchers address conflicts between review findings by choosing the SR(s) with meta-analysis of RCTs that most closely resemble their clinical, public health, or policy question, are the most recent, comprehensive (i.e. number of included RCTs), and at the lowest risk of bias.

Indexed as

AlgorithmsResearch PersonnelBiasHumansAgreementConcordantConflictingDiscordanceDiscordantEvidence synthesisKnowledge synthesisMeta-analysesOverlappingOverviews of reviewsReplicationSystematic reviews

Identifiers

PMID36289496
PMCPMC9597955
OpenAlexW4307560953

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.