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Record W4407633864 · doi:10.1111/hdi.13206

Low Molecular Weight Heparin‐Induced Thrombocytopenia: A Case Series Study of Newly Admitted Hemodialysis Patients

2025· article· en· W4407633864 on OpenAlexvenueno aff
Hui Ren, Wei Liang, Aihong Wang, Zibo Xiong, Guang Yang

Bibliographic record

VenueHemodialysis International · 2025
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsnot available
FundersBasic and Applied Basic Research Foundation of Guangdong ProvinceScience, Technology and Innovation Commission of Shenzhen Municipality
KeywordsHemodialysisMedicineHeparinLow molecular weight heparinHeparin-induced thrombocytopeniaSeries (stratigraphy)Internal medicineIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Low molecular weight heparin (LMWH), a common anticoagulant in hemodialysis, can cause the dangerous condition of heparin-induced thrombocytopenia (HIT) in rare cases. The present study reviews five cases of HIT diagnosed in our center, which treats more than 400 maintenance hemodialysis patients annually over a 30-year period. All five cases occurred in incident patients who were being exposed to LMWH for the first time. Treatment involved stopping LMWH and using alternative anticoagulants. Both the 4Ts score and antibody tests were used to confirm the diagnosis of HIT. Following diagnosis, close monitoring was performed for 10-15 days in typical cases or 30 days in severe cases until blood platelet levels recovered to near normal values. Our results suggest that while uncommon, HIT associated with use of LMWH can occur in hemodialysis patients, especially when patients are being exposed to this anticoagulant for the first time.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.294
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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Same venueHemodialysis InternationalSame topicHeparin-Induced Thrombocytopenia and ThrombosisFrench-language works237,207