Evidence map›Paper›PMID 33472494›Full record

ArticleThe Journal of international medical research2021

Development and validation of a novel score to predict dialysis inadequacy in continuous ambulatory peritoneal dialysis patients.

Aiya Qin, Xiang Liu, Mailudan Ainiwaer, Sirui Wang, Yi Tang, Wei Qin

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2021. 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, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

Aiya QinWest China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Xiang LiuWest China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Mailudan AiniwaerWest China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Sirui WangDivision of Nephrology, Department of Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yi TangDivision of Nephrology, Department of Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Wei QinDivision of Nephrology, Department of Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0003-4246-5431
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAdequate dialysis is of great importance for continuous ambulatory peritoneal dialysis (CAPD) patients. This study aimed to develop and validate an easily applicable quantitative dialysis adequacy risk scoring system in CAPD patients based on laboratory parameters from a single blood draw.

methodsA total of 634 CAPD patients from four study centers were enrolled in this study (345 and 289 patients in development and validation groups, respectively). A risk score model for inadequate dialysis was developed based on multivariate regression analysis, which was validated by the area under the receiver operator curve and calibrated by a calibration curve.

resultsSeven independent predictors for inadequate dialysis were identified in the development group (male sex, hypoalbuminemia, anemia, being overweight, hyperuricemia, estimated glomerular filtration rate <4.7 mL/min/1.73 m

conclusionAn easily applicable novel risk scoring system was established to detect inadequate dialysis in CAPD patients.

Indexed as

Peritoneal Dialysis, Continuous AmbulatoryCreatinineGlomerular Filtration RateHumansMaleMultivariate AnalysisRenal DialysisCreatininearea under the receiver operator curvecontinuous ambulatory peritoneal dialysisdialysis adequacyinadequate dialysisRisk prediction modelrisk score

Identifiers

PMID33472494
PMCPMC7829543
OpenAlexW3124188792

What OpenQuestion holds

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LicenceCC BY-NC
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