Evidence map›Paper›PMID 34824101›Full record

ArticleBMJ (Clinical research ed.)2021

Discordant and inappropriate discordant recommendations in consensus and evidence based guidelines: empirical analysis.

Liang Yao, Muhammad Muneeb Ahmed, Gordon H Guyatt, Peijing Yan, Xu Hui, Qi Wang, Kehu Yang, Jinhui Tian, Benjamin Djulbegovic

Abstract readComparative Study
In one paragraph

Article in BMJ (Clinical research ed.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Panel stacking is a threat to consensus statement validity.Journal of clinical epidemiology · 2024
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  20. Guidelines, guidelines and more guidelines for haemorrhoid treatment: A review to sort the wheat from the chaff.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2022
    Review
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

9 authors.

Liang YaoDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0003-4068-3136
Muhammad Muneeb AhmedMichael G DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
Gordon H GuyattDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Peijing YanDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xu HuiEvidence Based Medicine Centre, Lanzhou University, Lanzhou, Gansu, China.
Qi WangDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Kehu YangEvidence Based Medicine Centre, Lanzhou University, Lanzhou, Gansu, China.
Jinhui TianEvidence Based Medicine Centre, Lanzhou University, Lanzhou, Gansu, China.
Benjamin DjulbegovicBeckman Research Institute, Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA.

Funding

PA-20-070 "Development of evidence-based decision support for the management of COVID19"R01HS024917 · AHRQ · UNIVERSITY OF SOUTH FLORIDA · PI DJULBEGOVIC, BENJAMIN · 2016 to 2021
$2.3M
AHRQ HHS R01 HS024917
6 · The paper itself

Abstract

objectiveTo investigate whether alignment of strength of recommendations with quality of evidence differs in consensus based versus evidence based guidelines.

designEmpirical analysis. DATA SOURCE: Guidelines developed by the American College of Cardiology and the American Heart Association (ACC/AHA) and the American Society of Clinical Oncology (ASCO) up to 27 March 2021. STUDY SELECTION: Recommendations were clearly categorised as consensus or evidence based, were separated from the remainder of the text, and included both the quality of evidence and the strength of the recommendations. DATA EXTRACTION: Paired authors independently extracted the recommendation characteristics, including type of recommendation (consensus or evidence based), grading system used for developing recommendations, strength of the recommendation, and quality of evidence. The study team also calculated the number of discordant recommendations (strong recommendations with low quality evidence) and inappropriate discordant recommendations (those that did not meet grading of recommendations assessment, development, and evaluation criteria of appropriateness).

resultsThe study included 12 ACC/AHA guidelines that generated 1434 recommendations and 69 ASCO guidelines that generated 1094 recommendations. Of the 504 ACC/AHA recommendations based on low quality evidence, 200 (40%) proved to be consensus based versus 304 (60%) evidence based; of the 404 ASCO recommendations based on low quality evidence, 292 (72%) were consensus based versus 112 (28%) that were evidence based. In both ACC/AHA and ASCO guidelines, the consensus approach yielded more discordant recommendations (ACC/AHA: odds ratio 2.1, 95% confidence interval 1.5 to 3.1; ASCO: 2.9, 1.1 to 7.8) and inappropriate discordant recommendations (ACC/AHA: 2.6, 1.7 to 3.7; ASCO: 5.1, 1.6 to 16.0) than the evidence based approach.

conclusionConsensus based guidelines produce more recommendations violating the evidence based medicine principles than evidence based guidelines. Ensuring appropriate alignment of quality of evidence with the strength of recommendations is key to the development of "trustworthy" guidelines.

Indexed as

ConsensusAcademies and InstitutesAmerican Heart AssociationCardiologyEvidence-Based MedicineHumansMedical OncologyPractice Guidelines as TopicSocieties, MedicalUnited States

Identifiers

PMID34824101
PMCPMC8613613

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.