Evidence map›Paper›PMID 39250467›Full record

ArticlePloS one2024

Prediction models for intradialytic hypotension in hemodialysis patients: A protocol for systematic review and critical appraisal.

Zifeng Li, Luhuan Yang, Zuyang Xi, Wen Yi, Xiaoqian Zeng, Dongling Ma, Yunhong Lei

Abstract read
In one paragraph

Article in PloS one, 2024. 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
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.

  1. 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.

Zifeng LiDepartment of Traditional Chinese Medicine, The First College of Clinical Medical Science, Yichang Central People's Hospital, Three Gorges University, Yichang City, Hubei Province, China.
Luhuan YangFaculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-8868-9193
Zuyang XiDepartment of Nursing, the First College of Clinical Medical Science, Yichang Central People's Hospital, Three Gorges University, Yichang City, Hubei Province, China.
Wen YiDepartment of Traditional Chinese Medicine, The First College of Clinical Medical Science, Yichang Central People's Hospital, Three Gorges University, Yichang City, Hubei Province, China.
Xiaoqian ZengDepartment of Traditional Chinese Medicine, The First College of Clinical Medical Science, Yichang Central People's Hospital, Three Gorges University, Yichang City, Hubei Province, China.
Dongling MaDepartment of Traditional Chinese Medicine, The First College of Clinical Medical Science, Yichang Central People's Hospital, Three Gorges University, Yichang City, Hubei Province, China.
Yunhong LeiYichang Hubo Medical Research Institute, Yichang City, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intradialytic hypotension (IDH) is common in hemodialysis patients and can lead to several complications. Risk factors for IDH include demographic characteristics, comorbidities, dialysis procedure factors, and so on. Clinical studies on predictive models for dialysis-induced hypotension have shown inconsistent results. This systematic review aims to evaluate published prediction models for IDH, analyzing their characteristics, predictors, efficacy, and the methodological quality and applicability. The protocol has been prepared using the Preferred Items for Systematic Review and Meta-analysis Protocols (PRISMA-P) guidelines. The systematic review protocol for IDH prediction in hemodialysis patients has been registered with the International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY2023110081, DOI: 10.37766/inplasy2023.11.0081). A comprehensive search across five major databases (PubMed, Web of Science, Cochrane Library, CNKI, and Wanfang) will be conducted for studies on prediction models of IDH among hemodialysis patients. Two researchers will independently screen literature, extract data, and evaluate the bias risk and applicability of included studies using prediction modelling study tools. This systematic review will provide critical insights into the efficacy and quality of reporting of the IDH model in hemodialysis patients. This will guide clinical staff in selecting the most appropriate IDH prediction model and inform future research endeavors in IDH prediction.

Indexed as

HypotensionRenal DialysisHumansRisk FactorsSystematic Reviews as Topic

Identifiers

PMID39250467
PMCPMC11383225

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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.