Evidence map›Paper›PMID 38713434›Full record

ArticleJournal of gastrointestinal cancer2024

Risk Factors of Chemotherapy-Induced Thrombocytopenia After Oxaliplatin-Containing Chemotherapy for Gastrointestinal Malignancies.

Ju Li, Wanqing Wang, Kaipeng Jiang, Jiuwei Cui, Chang Wang, Tingting Liang, Yizhuo Wang, Shuhan Liu, Wenshuo Zhou

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Article in Journal of gastrointestinal cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ju LiThe First Hospital of Jilin University, Changchun, Jilin, China.
Wanqing WangThe First Hospital of Jilin University, Changchun, Jilin, China.
Kaipeng JiangThe First Hospital of Jilin University, Changchun, Jilin, China.
Jiuwei CuiThe First Hospital of Jilin University, Changchun, Jilin, China.
Chang WangThe First Hospital of Jilin University, Changchun, Jilin, China.
Tingting LiangThe First Hospital of Jilin University, Changchun, Jilin, China. liangtt@jlu.edu.cn.
Yizhuo WangThe First Hospital of Jilin University, Changchun, Jilin, China.
Shuhan LiuThe First Hospital of Jilin University, Changchun, Jilin, China.
Wenshuo ZhouThe First Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThrombocytopenia is among the most common chemotherapy-related hematologic toxicities. We aim to determine the predictors of oxaliplatin chemotherapy-induced thrombocytopenia in patients with gastrointestinal tumors to guide the clinic.

methodsClinical data of 750 patients with a malignant gastrointestinal tumor were included as the primary cohort. Basic clinical data, serological indices, and anthropometric indices of these patients were collected. According to the presence or absence of CIT, univariate analysis was performed to identify significant factors for multivariate analysis. In R language software, nomogram was constructed based on the results of multi-factor analysis, and the calibration curve and ROC curve were drawn.

resultsUnivariate analysis identified 17 factors as closely related to CIT occurrence, namely age, lymph node metastasis (N) stage, metastasis (M) stage, lung metastasis, other site metastasis, chemotherapy regimen, course of treatment, total dose of oxaliplatin, AST, albumin, neutrophils, monocytes, baseline platelets, transferrin, natural killer (NK) cell, phase angle, and SMI (P < 0.10). The binary logistic multivariate regression analysis revealed five independent risk factors for developing CIT (P < 0.05), including the M stage, total dose of oxaliplatin, albumin, baseline thrombocyte count, and NK cell. Based on the results of multivariate logistic regression analysis, R software was used to establish a nomogram model. The calibration curve shows that the combined predictor has good consistency. The area under the ROC curve was 0.877 and the best cut-off value was 0.3579613 (sensitivity, 78.9%; specificity, 81.8%), which showed the better prediction efficiency.

conclusionThe total dose of oxaliplatin, M stage, albumin, baseline platelet count, and NK cell was independent risk factors for CIT. The sequentially constructed histogram model had a good predictive effect on the risk of thrombocytopenia caused by oxaliplatin chemotherapy in patients with gastrointestinal malignancies.

Indexed as

Gastrointestinal NeoplasmsOxaliplatinThrombocytopeniaAdultAgedAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansMaleMiddle AgedNomogramsPlatelet CountRetrospective StudiesRisk FactorsAntineoplastic AgentsOxaliplatinCancerChemotherapyRisk factorsThrombocytopenia

Identifiers

PMID38713434
PMCPMC11347477

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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.