Evidence map›Paper›PMID 32425517›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2020

Easy to Perform Physical Performance Tests to Identify COPD Patients with Low Physical Activity in Clinical Practice.

Zinka Matkovic, Neven Tudoric, Danijel Cvetko, Cristina Esquinas, Dario Rahelic, Marko Zarak, Marc Miravitlles

Abstract readObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Update on the Etiology, Assessment, and Management of COPD Cachexia: Considerations for the Clinician.International journal of chronic obstructive pulmonary disease · 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

7 authors.

Zinka MatkovicDepartment of Internal Medicine, Division of Pulmonary Medicine, Dubrava University Hospital, Zagreb, Croatia.ORCID 0000-0002-0685-5769
Neven TudoricDepartment of Internal Medicine, Division of Pulmonary Medicine, Dubrava University Hospital, Zagreb, Croatia.
Danijel CvetkoDepartment of Diagnostic and Interventional Radiology, Dubrava University Hospital, Zagreb, Croatia.
Cristina EsquinasPneumology Department, Hospital Universitari Vall d'Hebron/Vall d'Hebron Institut de Recerca (VHIR), CIBER de Enfermedades Respiratorias (CIBERES), Barcelona, Spain.
Dario RahelicUniversity of Zagreb, School of Medicine, Zagreb, Croatia.
Marko ZarakDepartment of Laboratory Diagnostics, Dubrava University Hospital, Zagreb, Croatia.
Marc MiravitllesPneumology Department, Hospital Universitari Vall d'Hebron/Vall d'Hebron Institut de Recerca (VHIR), CIBER de Enfermedades Respiratorias (CIBERES), Barcelona, Spain.ORCID 0000-0002-9850-9520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The study investigates which physical performance or muscle function/mass tests significantly correlate with objectively measured physical activity (PA) in patients with chronic obstructive pulmonary disease (COPD) and could potentially serve to identify physically inactive COPD patients in routine clinical practice. Methods: A cross-sectional, observational study was conducted in outpatients with moderate to very severe COPD. PA was measured during one week with the StepWatch Activity Monitor Results: The study population (N=111, 69% men, mean age 68 years) walked a mean of 8059 steps/day. The daily step count strongly correlated with the 6MWD (rho=0.684, p<0.001) and moderately with the 4MGS (rho=0.464, p<0.001), the TUGT (rho= -0.463, p<0.001), and the 30sCST (rho=0.402, p<0.001). The correlation with the FFMI was weak (rho=0.210, p=0.027), while the other parameters did not significantly correlate with the daily step count. The 6MWD had the best discriminative power to identify patients with very low PA defined as <5000 steps/day (AUC=0.802 [95% CI: 0.720-0.884], p<0.001), followed by the TUGT, the 4MGS, and the 30sCST. Conclusion: The 6MWD, the 4MGS, the TUGT, and the 30sCST are easy to perform in any clinical setting and may be used by clinicians in the screening of physically inactive COPD patients.

Indexed as

Hand StrengthPulmonary Disease, Chronic ObstructiveAgedCross-Sectional StudiesExerciseExercise ToleranceFemaleHumansMalePhysical Functional PerformancePostural BalanceTime and Motion Studieschronic obstructive pulmonary diseaseexercise capacitygait speedmuscle functionmuscle massphysical activity

Identifiers

PMID32425517
PMCPMC7187939

What Socratic holds

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LicenceCC BY-NC
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 Socratic graph.