Evidence map›Paper›PMID 42125629›Full record

ArticleClinical interventions in aging2026

Neutrophil-Percentage-to-Albumin Ratio and Monocyte-to-Albumin Ratio: Utility of the Combined Biomarkers in the Prediction of 30-Day Mortality in Male Diabetes Patients Over 80 Years Old with Bloodstream Infections.

Shan Qin, Nan Li, Yu Zhou, Yan Zhang, Zhenghao Yu, Xinran Liu, Jianbo Zhong, Chuanbin Liu, Pinzheng Zhang, Changbai Pei and 4 more

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2026. 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. 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

14 authors.

Shan Qin *Department of Endocrinology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0003-0517-7262
Nan Li *Department of Endocrinology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0003-3820-0692
Yu Zhou *Department of Clinical Laboratory, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.ORCID 0000-0003-3456-1853
Yan ZhangDepartment of Health Care, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0009-0009-1309-1371
Zhenghao YuHealth Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.
Xinran LiuHealth Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0009-0001-1662-5844
Jianbo ZhongHealth Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0009-0005-9550-4133
Chuanbin LiuHealth Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.
Pinzheng ZhangDepartment of Disease Control and Prevention, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.
Changbai PeiHealth Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0009-0004-5098-8173
Xinjie HanHealth Management Institute, Medical School of Chinese PLA, Beijing, People's Republic of China.ORCID 0009-0009-3391-7740
Pingjun ZhuDepartment of Respiratory and Critical Care Medicine, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0001-7770-2754
Yingzhen DuDepartment of Disease Control and Prevention, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.
Guogang XuHealth Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0002-6380-3500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elderly patients with diabetes mellitus (DM) are highly vulnerable to bloodstream infections (BSI), which lead to a significantly high risk of mortality. Novel inflammatory markers that attach to albumin, such as Neutrophil-percentage-to-albumin ratio (NPAR), C-reactive protein-to-albumin ratio (CAR), Monocyte-to-albumin ratio (MAR), Red blood cell distribution width-to-albumin ratio (RAR), Prognostic Nutritional Index (PNI) and C-reactive protein-albumin-lymphocyte index (CALLY index), have proven to be effective in predicting infections. However, the association between these factors and BSI in diabetes patients over 80 years old still remains to be fully elucidated. Purpose: To investigate the predictive value of the novel inflammatory markers NPAR, CAR, MAR, RAR, PNI and CALLY index for the prognosis in male diabetes patients over 80 years old with bloodstream Infections of 30-day mortality. Patients and Methods: Male diabetes patients over 80 years old who diagnosed with BSI were recruited between January 2012 and January 2025. Receiver operating characteristic (ROC) curves, Kaplan-Meier curves (K-M curves) and Cox regression analysis were used to investigate the association between these factors and 30-day mortality. Results: A total of 350 diabetes patients with BSI were recruited in the study, with an average age of 89.77±8.62 years. There are 55 deaths within 30 days, with an all-cause mortality rate of 15.71%. After adjusting for multiple factors, the NPAR2 and MAR2 groups still correlated with 30 days mortality. (NPAR2 HR, 95% CI: 2.738, 1.058-7.084, Conclusion: NPAR and MAR are more sensitive markers in male diabetes patients over 80 years old with BSI and can provide a reference for predicting 30-day mortality in patients with BSI.

Indexed as

Diabetes MellitusMonocytesNeutrophilsSepsisSerum AlbuminAged, 80 and overBiomarkersC-Reactive ProteinHumansKaplan-Meier EstimateMalePredictive Value of TestsPrognosisProportional Hazards ModelsROC CurveBiomarkersC-Reactive ProteinSerum Albuminbloodstream infectionselderinflammatory markersmonocyte-to-albumin ratiomortalityneutrophil percentage-to-albumin ratio

Identifiers

PMID42125629
PMCPMC13158360

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.