Evidence map›Paper›PMID 33801347›Full record

ArticleJournal of clinical medicine2021

Effectiveness of

Juan Miguel Sánchez-Nieto, Irene Fernández-Muñoz, Andrés Carrillo-Alcaraz, Roberto Bernabeu-Mora

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Juan Miguel Sánchez-NietoDivision of Pneumology, Morales Meseguer General University Hospital, 30008 Murcia, Spain.
Irene Fernández-MuñozDivision of Pneumology, Morales Meseguer General University Hospital, 30008 Murcia, Spain.
Andrés Carrillo-AlcarazInstitute for Bio-Health Research of Murcia (IMIB-Arrixaca), El Palmar, 30120 Murcia, Spain.
Roberto Bernabeu-MoraDivision of Pneumology, Morales Meseguer General University Hospital, 30008 Murcia, Spain.ORCID 0000-0002-7426-2316
Hospital General Universitario Morales Meseguer · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle training, a component of pulmonary rehabilitation (PR), improves the physical performance of patients with chronic obstructive pulmonary disease (COPD). Despite the existing evidence, the traditional center-based PR model is applied to a small percentage of patients and presents numerous problems of accessibility, adherence, and costs. This study presents a home model of simple muscle training, non-presential, monitored by telephone and individualized, according to the severity of the COPD. In addition, to evaluate the results, simple tests associated with the physical performance of the lower limbs, previously validated in COPD, have been used, such as the four-meter walk, speed test (4MGS) and the five-repetition test sitting and standing (5STS). The objective was to evaluate whether the Individualized Non-Presential Exercise Training PrOgram (NIETO) induces improvements in the 4MGS, 5STS and quadriceps muscle strength (QMS) tests in outpatients with advanced COPD (FEV1 ≤ 50%). After one year, the QMS was significantly higher in the intervention group (IG) than in the control group (CG) (2.44 ± 4.07 vs. 0.05 ± 4.26 kg;

Indexed as

COPDexercise trainingfive-repetition sit-to-stand testfour-meters gait-speed testnon-presential programphysical activitypulmonary rehabilitationquadriceps muscle strengthShort Physical Performance Batterysix-minute-walk test

Identifiers

PMID33801347
PMCPMC7958336
OpenAlexW3135198406

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.