Evidence map›Paper›PMID 32378338›Full record

ArticlePhysiological reports2020

High-intensity exercise training improves perioperative risk stratification in the high-risk patient.

George A Rose, Michael J Adamson, Richard G Davies, Ian R Appadurai, Damian M Bailey

Open access · goldAbstract readCase Reports
In one paragraph

Article in Physiological reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
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

5 authors at 2 institutions in 1 country.

George A RoseFaculty of Life Sciences and Education, University of South Wales, Pontypridd, UK.ORCID 0000-0002-9598-6372
Michael J AdamsonDepartment of Anaesthetics, University Hospital of Wales, Cardiff, UK.
Richard G DaviesDepartment of Anaesthetics, University Hospital of Wales, Cardiff, UK.
Ian R AppaduraiDepartment of Anaesthetics, University Hospital of Wales, Cardiff, UK.
Damian M BaileyFaculty of Life Sciences and Education, University of South Wales, Pontypridd, UK.ORCID 0000-0003-0498-7095
University Hospital of Wales · GBUniversity of South Wales · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise prehabilitation prior to major surgery can improve cardiorespiratory fitness (CRF) and clinical outcome. However, in patients deemed "high--risk" for surgery, the feasibility, optimum training modality and its intensity, duration, and frequency are yet to be defined. We assessed the cardiorespiratory fitness of a 70-year-old female patient requiring major thoraco-abdominal surgery for reconstruction of her esophagus. Cardiopulmonary exercise testing (CPET) on a cycle ergometer was used to determine CRF. A baseline CPET confirmed poor CRF and placed her in a high surgical risk group. This was followed by 16 weeks of unsupervised, home-based, moderate-intensity steady-state (MISS) training followed by 10 weeks of high-intensity interval training (HIIT) under the combined supervision of an exercise physiologist and clinician in hospital. Following MISS training, CPET metrics failed to improve: peak oxygen uptake decreased (14.7-13.7 ml O

Indexed as

Cardiorespiratory FitnessAgedEsophageal NeoplasmsExercise TestFemaleHeart RateHigh-Intensity Interval TrainingHumansOxygen ConsumptionPerioperative CareRisk Assessmentcardiopulmonary exercise testexercise trainingrisk assessment

Identifiers

PMID32378338
PMCPMC7202981
OpenAlexW3023658116

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.