Evidence map›Paper›PMID 34213641›Full record

Trial reportSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021

Risk prediction models based on hematological/body parameters for chemotherapy-induced adverse effects in Chinese colorectal cancer patients.

Mingming Li, Jiani Chen, Yi Deng, Tao Yan, Haixia Gu, Yanjun Zhou, Houshan Yao, Hua Wei, Wansheng Chen

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03030508 (Discovery and Validate of Multi-genetic Biomarkers for Capecitabine in Chinese Colorectal Patients), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
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.

NCT03030508 unknown statusnot on this map

Discovery and Validate of Multi-genetic Biomarkers for Capecitabine in Chinese Colorectal Patients

TypeobservationalSponsorShanghai Changzheng HospitalRan2016 to 2019Enrolled300ConditionsColorectal Cancer, CapecitabineArmsNo intervention
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Article
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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

9 authors at 4 institutions in 1 country.

Mingming Li *Department of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
Jiani Chen *Department of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
Yi Deng *Department of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
Tao YanCollege of Chemical and Biological Engineering, Yichun University, Jiangxi, 336000, China.
Haixia GuSchool of Pharmacy, Shanghai University of Medicine & Health Sciences, Shanghai, 201318, China.
Yanjun ZhouSchool of Pharmacy, Shanghai University of Medicine & Health Sciences, Shanghai, 201318, China.
Houshan YaoDepartment of General Surgery, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China. 58853993@qq.com.
Hua WeiDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China. weihua@smmu.edu.cn.
Wansheng ChenDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China. chenwansheng@smmu.edu.cn.ORCID http://orcid.org/0000-0002-0025-1315
Second Military Medical University · CNShanghai University of Medicine and Health Sciences · CNXinjiang Medical University · CNYichun University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine risk factors and develop novel prediction models for chemotherapy-induced adverse effects (CIAEs) in Chinese colorectal cancer (CRC) patients receiving capecitabine.

methodsA total of 233 Chinese CRC patients receiving post-operative chemotherapy with capecitabine were randomly divided into a training set (70%) and a validation set (30%). CIAE-related hematological/body parameters were screened by univariate logistic regression. Based on a set of factors selected from LASSO (least absolute shrinkage and selection operator) logistic regression, stepwise multivariate logistic regression was applied to develop prediction models. Area under the receiver operating characteristic (ROC) curve and Hosmer-Lemeshow (HL) test were used to evaluate the discriminatory ability and the goodness of fit of each model.

resultsIn total, 35 variables were identified to be associated with CIAEs in univariate analysis. Developed multivariable models had AUCs (area under curve) ranging from 0.625 to 0.888 and 0.428 to 0.760 in the training and validation set, respectively. The grade ≥ 1 anemia multivariable model achieved the best discriminatory ability with AUC of 0.760 (95%CI: 0.609-0.912) and good calibration with HL P value of 0.450. Then, a nomogram was constructed to predict grade ≥ 1 anemia, which included variables of age, pre-operative hemoglobin count, and pre-operative albumin count, with C-indexes of 0.775 and 0.806 in the training and validation set, respectively.

conclusionsThis study identified valuable hematological/body parameters related to CIAEs. A nomogram based on the multivariable model including three hematological/body predictors can accurately predict grade ≥ 1 anemia, facilitating clinicians to implement personalized medicine early for Chinese CRC patients receiving post-operative chemotherapy for better safety treatment. Trial registration This study was registered as a clinical trial at www.clinicaltrials.gov (NCT03030508).

Indexed as

Antineoplastic AgentsColorectal NeoplasmsDrug-Related Side Effects and Adverse ReactionsChinaHumansNomogramsAntineoplastic AgentsAnemiaBone marrow suppressionCapecitabineChemotherapy-induced adverse effectsChemotherapy-induced nausea and vomitingColorectal cancerHematological/body parametersPrediction model

Identifiers

PMID34213641
OpenAlexW3176616236

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.