Evidence map›Paper›PMID 36115933›Full record

ReviewSports medicine (Auckland, N.Z.)2023

Low Cardiorespiratory Fitness Post-COVID-19: A Narrative Review.

Fabian Schwendinger, Raphael Knaier, Thomas Radtke, Arno Schmidt-Trucksäss

Abstract readReview
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

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

  1. Pooled it
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  11. Evaluation of myocardial work and exercise capacity in patients recovered from the severe form of COVID-19.International journal of cardiology. Cardiovascular risk and prevention · 2024
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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

4 authors.

Fabian SchwendingerDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Grosse Allee 6, 4052, Basel, Switzerland.ORCID http://orcid.org/0000-0001-7795-1478
Raphael KnaierDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0244-7768
Thomas RadtkeEpidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-1723-1070
Arno Schmidt-TrucksässDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Grosse Allee 6, 4052, Basel, Switzerland. arno.schmidt-trucksaess@unibas.ch.ORCID http://orcid.org/0000-0002-4662-3911

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung P2BSP3_191755
6 · The paper itself

Abstract

Patients recovering from COVID-19 often report symptoms of exhaustion, fatigue and dyspnoea and present with exercise intolerance persisting for months post-infection. Numerous studies investigated these sequelae and their possible underlying mechanisms using cardiopulmonary exercise testing. We aimed to provide an in-depth discussion as well as an overview of the contribution of selected organ systems to exercise intolerance based on the Wasserman gears. The gears represent the pulmonary system, cardiovascular system, and periphery/musculature and mitochondria. Thirty-two studies that examined adult patients post-COVID-19 via cardiopulmonary exercise testing were included. In 22 of 26 studies reporting cardiorespiratory fitness (herein defined as peak oxygen uptake-VO

Indexed as

Cardiorespiratory FitnessCardiovascular SystemCOVID-19AdultExercise TestHumansOxygenOxygen ConsumptionOxygen

Identifiers

PMID36115933
PMCPMC9483283

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.