Evidence map›Paper›PMID 35829751›Full record

Trial reportEuropean journal of applied physiology2022

An equation to predict peak heart rate for prescribing exercise intensity in middle-aged to older patients requiring hemodialysis.

Haruna Oyanagi, Naoto Usui, Atsuhiro Tsubaki, Shuji Ando, Masakazu Saithoh, Sho Kojima, Akihito Inatsu, Hideki Hisadome, Shigeyuki Ota, Akimi Uehata

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European journal of applied physiology, 2022. 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
–field-weighted citation impact, top 84% 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, 0 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 1 country.

Haruna OyanagiDepartment of Rehabilitation, Kisen Hospital, 1-35-8 Higashikanamachi, Katsushika-ku, Tokyo, 125 - 0041, Japan.
Naoto UsuiDepartment of Rehabilitation, Kisen Hospital, 1-35-8 Higashikanamachi, Katsushika-ku, Tokyo, 125 - 0041, Japan. chokujin.70@gmail.com.ORCID http://orcid.org/0000-0002-5294-0972
Atsuhiro TsubakiInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan.
Shuji AndoDepartment of Information and Computer Technology, Tokyo University of Science, Tokyo, Japan.
Masakazu SaithohDepartment of Physical Therapy, Faculty of Health Science, Juntendo University, Tokyo, Japan.
Sho KojimaDepartment of Rehabilitation, Kisen Hospital, 1-35-8 Higashikanamachi, Katsushika-ku, Tokyo, 125 - 0041, Japan.
Akihito InatsuDivision of Nephrology, Kisen Hospital, Tokyo, Japan.
Hideki HisadomeDivision of Cardiology, Kisen Hospital, Tokyo, Japan.
Shigeyuki OtaDivision of Nephrology, Kisen Clinic, Tokyo, Japan.
Akimi UehataDivision of Cardiology, Kisen Hospital, Tokyo, Japan.
Misasa Onsen Hospital · JPJuntendo University · JPNiigata University of Health and Welfare · JPTokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExercise prescription based on a population-specific physiological response can help ensure safe and effective physical interventions. However, as a facile approach for exercise prescription in hemodialysis population that is based on their exercise capacity has not yet been established, the aim of our study was to develop a unique prediction formula for peak heart rate (HR) that can be used in this population.

methodsThis cross-sectional study measured physical function and HR at peak exercise and anaerobic threshold (AT) during cardiopulmonary exercise tests in 126 individuals. Participants were randomly assigned to the development group (n = 78), whose data were used to calculate the prediction equation, or the validation group (n = 48).

resultsThe HR reserve in this population was significantly lower (0.44 ± 0.20%) and there was a large discrepancy between conventional age-predicted maximal HR and measured peak-HR values (R = 0.36). The average of the ratio between HR at AT point and peak HR was 85% (95% CI, 83.5%-86.4%). The peak-HR prediction equation was based on resting HR, presence of diabetes, physical dysfunction (gait speed < 1.0 m/s), and hypoalbuminemia (< 3.5 g/dL). It showed high prediction accuracy (R

conclusionAerobic exercise based on estimated peak HR < 85% obtained from the equation in this study may enable safe and effective physical intervention in this population.

Indexed as

Exercise TestOxygen ConsumptionCross-Sectional StudiesHeart RateHumansMiddle AgedRenal DialysisAerobic exerciseAnaerobic thresholdCardiopulmonary exercise testHemodialysisPeak heart ratePrediction

Identifiers

PMID35829751
OpenAlexW4285392312

What Socratic 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 Socratic graph.