Evidence map›Paper›PMID 22870234›Full record

ReviewPloS one2012

Informing evidence-based decision-making for patients with comorbidity: availability of necessary information in clinical trials for chronic diseases.

Cynthia M Boyd, Daniela Vollenweider, Milo A Puhan

Open access · goldAbstract readReview
In one paragraph

Review in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 5 pooled it
6.6field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 5 syntheses or guidelines pooled it, 110 citations in OpenAlex.

  1. Strength of association between comorbidities and asthma: a meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2023
    Pooled it
  2. Multimorbidity in randomized controlled trials of behavioral interventions: A systematic review.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Pooled it
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  13. Patient journey for hypertension and dyslipidemia in Saudi Arabia: highlighting the evidence gaps.Archives of public health = Archives belges de sante publique · 2023
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  17. Multimorbidity.Nature reviews. Disease primers · 2022
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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

3 authors at 1 institution in 1 country.

Cynthia M BoydDivision of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America. cyboyd@jhmi.edu
Daniela Vollenweider
Milo A Puhan
Johns Hopkins University · US

Funding

Treatment Burden in Older Adults with Diabetes and MultimorbidityK23AG032910 · NIA · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2009 to 2013
$533k
Improving Clinical Practice Guidelines for Complex PatientsR21HS018597 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2009 to 2009
$236k
AHRQ HHS R21 HS018597AHRQ HHS R21 HS018597-01NIA NIH HHS K23 AG032910
6 · The paper itself

Abstract

backgroundThe population with multiple chronic conditions is growing. Prior studies indicate that patients with comorbidities are frequently excluded from trials but do not address whether information is available in trials to draw conclusions about treatment effects for these patients. METHODS AND

findingsWe conducted a literature survey of trials from 11 Cochrane Reviews for four chronic diseases (diabetes, heart failure, chronic obstructive pulmonary disease, and stroke). The Cochrane Reviews systematically identified and summarized trials on the effectiveness of diuretics, metformin, anticoagulants, longacting beta-agonists alone or in combination with inhaled corticosteroids, lipid lowering agents, exercise and diet. Eligible studies were reports of trials included in the Cochrane reviews and additional papers that described the methods of these trials. We assessed the exclusion and inclusion of people with comorbidities, the reporting of comorbidities, and whether comorbidities were considered as potential modifiers of treatment effects. Overall, the replicability of both the inclusion criteria (mean [standard deviation (SD)]: 6.0 (2.1), range (min-max): 1-9.5) and exclusion criteria (mean(SD): 5.3 (2.1), range: 1-9.5) was only moderate. Trials excluded patients with many common comorbidities. The proportion of exclusions for comorbidities ranged from 0-42 percent for heart failure, 0-55 percent for COPD, 0-44 percent for diabetes, and 0-39 percent for stroke. Seventy of the 161 trials (43.5%) described the prevalence of any comorbidity among participants with the index disease. The reporting of comorbidities in trials was very limited, in terms of reporting an operational definition and method of ascertainment for the presence of comorbidity and treatments for the comorbidity. It was even less common that the trials assessed whether comorbidities were potential modifiers of treatment effects.

conclusionsComorbidities receive little attention in chronic disease trials. Given the public health importance of people with multiple chronic conditions, trials should better report on comorbidities and assess the effect comorbidities have on treatment outcomes.

Indexed as

Access to InformationDecision MakingDiabetes MellitusPulmonary Disease, Chronic ObstructiveStrokeChronic DiseaseClinical Trials as TopicEvidence-Based MedicineFemaleHumansMale

Identifiers

PMID22870234
PMCPMC3411714
OpenAlexW2085658053

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.