Evidence map›Paper›PMID 35364230›Full record

ArticleJournal of clinical epidemiology2022

Using Explicit Thresholds were valuable for judging Benefits and Harms in partially contextualized GRADE Guidelines.

Ignacio Neumann, Eduardo Quiñelen, Paula Nahuelhual, Pamela Burdiles, Natalia Celedón, Katherine Cerda, Paloma Herrera-Omegna, Patricia Kraemer, Karen Dominguez Cancino, Juan Pablo Valenzuela and 4 more

Abstract read
In one paragraph

Article in Journal of clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Evolutionarily Optimal Risk Aversion.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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

14 authors.

Ignacio NeumannDepartment of Internal Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile; Department of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada. Electronic address: Ignacio.neumann@gmail.com.
Eduardo QuiñelenDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Paula NahuelhualDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Pamela BurdilesDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Natalia CeledónDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Katherine CerdaDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Paloma Herrera-OmegnaDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Patricia KraemerDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Karen Dominguez CancinoDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Escuela de Enfermería, Universidad Científica del Sur, Lima, Peru.
Juan Pablo ValenzuelaDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Dino SepúlvedaDepartment of Health Technology Assessments, Ministerio de Salud de Chile, Santiago, Chile.
Gian Paolo MorganoDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Elie A AklDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.
Holger J SchünemannDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGuideline panels must assess the magnitude of health benefits and harms to develop sensible recommendations. However, they rarely use explicit thresholds. In this paper we report on the piloting and the use thresholds for benefits and harms. STUDY DESIGN AND

settingWe piloted the use of thresholds in a Chilean COVID-19 living guideline. For each of the critical outcomes, we asked panelists to suggest values of the thresholds for large, moderate, small, or trivial or no effect. We collected this information through a survey and an on-line discussion.

resultsTwelve panelists decided on thresholds for three critical outcomes (mortality, need for mechanical ventilation and serious adverse events). For all outcomes, an absolute risk reduction was considered larger with more than 50 events, moderate with less than 50 events, small with less than 25 events, and trivial with less than 10 events. Having these a priori thresholds in place significantly impacted on the development of recommendations.

conclusionExplicit thresholds were a valuable addition to the judgment of the certainty in the evidence, to decide the direction and strength of the recommendation and to evaluate the need for update. We believe this is a line of research worth perusing.

Indexed as

COVID-19ChileHumansResearch ReportClinical guidelinesCOVID-19GRADE

Identifiers

PMID35364230
PMCPMC8963975

What OpenQuestion holds

Textmetadata
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.