Evidence map›Paper›PMID 38345059›Full record

ArticleRenal failure2024

Influencing factors of clinical efficacy of roxadustat among hemodialysis patients.

Wenhui Wu, Nan Hu, Xiurong Li, Jia Di, Hua Zhou, Hongyan Niu, Min Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 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
1.4field-weighted citation impact, top 20% 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, 3 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

7 authors at 1 institution in 1 country.

Wenhui WuDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Nan HuDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xiurong LiDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Jia DiDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Hua ZhouDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Hongyan NiuDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Min YangDepartment of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore independent influencing factors for clinical efficacy of roxadustat in hemodialysis patients.

methodsHemodialysis patients treated with roxadustat were enrolled. The plasma trough concentrations of roxadustat were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS). A multiple logistic regression model was established to determine the factors that affect clinical efficacy of roxadustat in patients undergoing hemodialysis.

resultsA total of 67 hemodialysis patients were enrolled in the study. The results showed that age, blood trough concentration of roxadustat, and baseline hemoglobin (Hb) level were independent factors of clinical efficacy of roxadustat (OR = 1.06,

conclusionsAge, blood trough concentration of roxadustat, and baseline Hb level were independent influencing factors of the response to roxadustat in hemodialysis patients.

Indexed as

Renal Insufficiency, ChronicTandem Mass SpectrometryChromatography, LiquidGlycineHumansRenal DialysisTreatment OutcomeGlycineblood trough concentration of roxadustatclinical efficacyrenal anemiaRoxadustat

Identifiers

PMID38345059
PMCPMC10863536
OpenAlexW4391754001

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.