Evidence map›Paper›PMID 28386651›Full record

ArticleSports medicine (Auckland, N.Z.)2017

Exercise for Multimorbid Patients in Primary Care: One Prescription for All?

Philipe de Souto Barreto

Abstract read
PubMed Publisher
In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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  7. Advancing multimorbidity management in primary care: a narrative review.Primary health care research & development · 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

1 author at 1 institution in 1 country.

Philipe de Souto BarretoGerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), 37 Allées Jules Guesde, 31000, Toulouse, France. philipebarreto81@yahoo.com.br.
Institut de Mathématiques de Toulouse · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this article was to discuss guidelines for the management of the most prevalent chronic diseases treated by primary care physicians (PCPs) in order to identify the best exercise regimen for each clinical population, and to provide preliminary guidance for primary care providers on exercise counselling in the 'real-world' context of multimorbidity. After a search of the PubMed electronic database, the 11 most prevalent conditions currently treated by PCPs were identified. The recommendations provided by recognised learned/scientific societies for the management of each disease were then examined and any recommendations involving physical activity and exercise were identified. It was found that the best exercise regimen (i.e. exercise type, intensity, duration, and frequency) was very similar across chronic diseases, which suggests that elaborating and implementing a standardised, minimum exercise guideline for multimorbid patients in primary care may be an alternative approach to time-costly individualised exercise prescriptions. Based on this finding, I propose an example of standardised, cross-disease exercise prescription, and discuss how such a prescription could be operationalised by PCPs in their routine clinical practice.

Indexed as

Practice Patterns, Physicians'Chronic DiseaseDisease ManagementExerciseExercise TherapyHealth PersonnelHumansPractice Guidelines as TopicPrimary Health CareChronic Obstructive Pulmonary DiseaseExercise GuidelineExercise PrescriptionPhysical ActivityPhysical Activity Counselling

Identifiers

PMID28386651
OpenAlexW2604245637

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.