Evidence map›Paper›PMID 41396562›Full record

ArticleInternational journal of clinical pharmacy2026

Beyond existing rating scales: development of a novel nomogram for predicting severe clinical bleeding associated with low-molecular-weight heparin in hospitalized medical patients.

Zailin Fu, Xia Zhan, Min He, Zhijun Dong, Yuanyuan Fang, Xiaoying Zhang, Ting Zhou, Bo Jin, Dabu Zhu, Jianrong Gu and 4 more

Abstract readMulticenter Study
In one paragraph

Article in International journal of clinical pharmacy, 2026. 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
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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

14 authors.

Zailin FuDepartment of Pharmacy, Linping Campus, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China.
Xia ZhanDepartment of Pharmacy, The First People's Hospital of Lin'an District, Hangzhou, 310000, Zhejiang, People's Republic of China.
Min HeDepartment of Pharmacy, The First People's Hospital of Xiaoshan District, Hangzhou, 310000, Zhejiang, People's Republic of China.
Zhijun DongDepartment of Pharmacy, Hangzhou Normal University Jiande Hospital, Hangzhou, 310000, Zhejiang, People's Republic of China.
Yuanyuan FangDepartment of Pharmacy, The First People's Hospital of Xiaoshan District, Hangzhou, 310000, Zhejiang, People's Republic of China.
Xiaoying ZhangDepartment of Pharmacy, The First People's Hospital of Xiaoshan District, Hangzhou, 310000, Zhejiang, People's Republic of China.
Ting ZhouDepartment of Pharmacy, The First People's Hospital of Lin'an District, Hangzhou, 310000, Zhejiang, People's Republic of China.
Bo JinDepartment of Pharmacy, Linping Campus, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China.
Dabu ZhuDepartment of Pharmacy, Linping Campus, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China.
Jianrong GuDepartment of Pharmacy, Linping Campus, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China.
Yi ZhouDepartment of Pharmacy, Linping Campus, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China.
Yifang ChenDepartment of Pharmacy, Linping Campus, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China.
Minghua XieDepartment of Pharmacy, Linping Campus, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China.
Hong YuanDepartment of Cardiovascular Medicine, Linping Campus, The Second Affiliated Hospital, Zhejiang University School of Medicine, #369 Yingbin Road, Linping, Hangzhou, 310000, Zhejiang, People's Republic of China. yuanh0710@163.com.

Funding

the Joint Funds of the Zhejiang Provincial Natural Science Foundation of China under Grant No. LYY21H310007the Medical and Health Science and Technology Project of Linping District, Hangzhou No. Yu2019001
6 · The paper itself

Abstract

introductionLow-molecular-weight heparin (LMWH) is widely used for thromboprophylaxis and treatment in hospitalized patients; however, LMWH-related severe clinical bleeding (LSCB) remains a major concern. Existing risk scales have been developed for oral anticoagulants and have limited applicability to LMWH, leaving clinicians without reliable bedside tool.

aimThis study aimed to evaluate the discriminatory performance of existing scales for predicting LSCB and develop a tailored nomogram for individualized risk prediction.

methodHospitalized medical patients prescribed LMWH between July 2021 and August 2024 at three tertiary hospitals in Hangzhou, China were retrospectively analyzed. Each LSCB case was matched with three non-LSCB controls from the same department and period. The prevalence of LSCBs, bleeding sites, and clinical characteristics are described. Receiver operating characteristic (ROC) curves were used to assess the predictive performance of existing scales. Variables with p < 0.10 in univariate analysis were entered into logistic regression, a backward stepwise elimination (stay p < 0.05) was applied to identify independent predictors and subsequently incorporated into a nomogram. Discrimination, calibration, and external validation were performed.

resultsAmong 22,096 patients, 369 (1.67%) developed LSCB, most commonly severe gastrointestinal bleeding (74.3%), with a mean onset of 5.68 days. A total of 1,089 patients with non-LSCB were matched as controls. Existing scales performed limited predictive value (AUC 0.52-0.68). Logistic regression identified 12 independent predictors: hypoproteinemia (albumin < 30 g/L), anemia (Hb < 90 g/L), active gastrointestinal ulcer, thrombocytopenia (platelets < 75 × 10⁹/L), coagulation abnormalities (PT or aPTT > 1.2 × ULN), cefoperazone/latamoxef exposure > 7 days, hypocalcemia ([Ca

conclusionThe existing scales for predicting LSCB lack accuracy in hospitalized patients. This newly developed nomogram (LSCB-Score) provides a practical framework for individualized bleeding risk assessment and facilitates safe management of LMWH in hospitals.

Indexed as

AnticoagulantsHemorrhageHeparin, Low-Molecular-WeightNomogramsAdultAgedAged, 80 and overChinaFemaleHospitalizationHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentAnticoagulantsHeparin, Low-Molecular-WeightHemorrhage/epidemiologyLow-molecular-weight heparin/adverse effectsNomogramsPredictive valueRisk assessmentRisk factors

Identifiers

PMID41396562
PMCPMC13176133

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