Predicting intradialytic exercise intolerance in maintenance hemodialysis patients: an interpretable machine learning approach integrating functional assessments.

Fengyan Zhang, Lixin Yan, Yang Yang, Chunhu Yu, Yanping Peng, Ying Wang

Abstract readObservational Study

In one paragraph

Observational study in Renal failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Fengyan ZhangUrology and Metabolic Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.

Lixin YanUrology and Metabolic Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.

Yang YangUrology and Metabolic Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.

Chunhu YuUrology and Metabolic Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.

Yanping PengUrology and Metabolic Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.

Ying WangUrology and Metabolic Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise intolerance, primarily manifesting as intradialytic hypotension (IDH), is common in maintenance hemodialysis patients, interrupting interventions and contributing to adverse outcomes. This prospective observational study enrolled 128 adults on thrice-weekly hemodialysis for ≥3 months, generating 896 dialysis records. Four classifiers-logistic regression with elastic net penalty, Random Forest, histogram-based gradient boosting decision tree (HGBDT), and eXtreme Gradient Boosting (XGBoost)-were evaluated using a 10-fold GroupKFold cross-validation strategy on the entire dataset. Performance was assessed

Indexed as

Exercise ToleranceHypotensionKidney Failure, ChronicMachine LearningRenal DialysisAgedBoosting Machine Learning AlgorithmsClassification AlgorithmsFemaleHumansLogistic ModelsMaleMiddle AgedPrediction AlgorithmsPredictive Learning ModelsProspective Studiesfunctional assessmentHemodialysisintradialytic hypotensionmachine learningSHAP

Identifiers

PMID42336401

DOI10.1080/0886022X.2026.2689781

PMCPMC13292310

What OpenQuestion holds

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Registered trials

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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.