Evidence map›Paper›PMID 40546027›Full record

ArticleRenal failure2025

C-reactive protein-to-prealbumin ratio as prognostic marker in hemodialysis patients with Omicron infection.

Quanchao Zhang, Caibao Lu, Zhifen Wu, Shaofa Wu, Lili Jiang, Han Wang, Jin He, Bingshuang Tang, Bingfeng Yang, Shengli Liao and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Renal failure, 2025. 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

18 authors.

Quanchao ZhangDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Caibao LuDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Zhifen WuUrology and Kidney Disease Center, Yongchuan People's Hospital of Chongqing, Chongqing, China.
Shaofa WuDepartment of Nephrology, Youyang Hospital, A Branch of the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lili JiangDepartment of Nephrology, Youyang Hospital, A Branch of the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Han WangDepartment of Endocrinology and Nephrology, Chongqing General Hospital, Chongqing, China.
Jin HeDepartment of Endocrinology and Nephrology, Chongqing General Hospital, Chongqing, China.ORCID 0000-0002-5108-4182
Bingshuang TangDepartment of Nephrology and Endocrinology, ChongQingBishan District Hospital of Traditional Chinese Medicine, Chongqing, China.
Bingfeng YangDepartment of Nephrology and Endocrinology, ChongQingBishan District Hospital of Traditional Chinese Medicine, Chongqing, China.
Shengli LiaoHemodialysis Center of Nanchuan Hospital of Traditional Chinese Medicine, Chongqing, China.
Liao WangHemodialysis Center of Nanchuan Hospital of Traditional Chinese Medicine, Chongqing, China.
Hongwei ChenDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Moqi LiDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Wenchang HeDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Yiqin WangDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Jie LiUrology and Kidney Disease Center, Yongchuan People's Hospital of Chongqing, Chongqing, China.
Jinghong ZhaoDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.ORCID 0000-0001-9750-3285
Ling NieDepartment of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemodialysis patients frequently experience chronic inflammation and malnutrition, while C-reactive protein to prealbumin ratio (CP ratio) is a comprehensive assessment approach of inflammatory and nutritional status. Howerer, there is limited research on the prognostic value of the CP ratio specifically in hemodialysis patients infected with the Omicron variant.

methodsData from 847 hemodialysis patients, diagnosed with Omicron across 6 hemodialysis centers between December 2022 and February 2023, were analyzed. Hazard ratios were estimated using univariate and multivariable Cox regression, and receiver operating characteristic curves were used to evaluate the predictive abilities. Survival rate differences between higher and lower CP ratio groups were analyzed using the Kaplan-Meier method.

resultsFrom the total, 98 patients (11.6%) succumbed, with a majority (80/98) within a month post-infection. C-reactive protein, prealbumin, and CP ratio were all associated with all-cause mortality in the crude model. After adjusting for other confounding factors, the CP ratio remained an independent risk factor for all-cause mortality (HR 1.97; 95% CI 1.07-3.63;

conclusionsThis study underscores that CP ratio substantially influence the mortality rates in hemodialysis patients following Omicron infection. Careful monitoring and consideration of the CP ratio could inform more effective patient management strategies, potentially leading to reduced mortality rates in this vulnerable group.

Indexed as

COVID-19C-Reactive ProteinKidney Failure, ChronicPrealbuminRenal DialysisAgedBiomarkersFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsSARS-CoV-2BiomarkersC-Reactive ProteinPrealbuminC-reactive protein to prealbumin ratioHemodialysismortalityomicron

Identifiers

PMID40546027
PMCPMC12893479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.