Evidence map›Paper›PMID 40432352›Full record

ArticleJournal of breast cancer2025

A Nomogram Incorporating Intermuscular Adipose Tissue to Predict Chemotherapy Toxicity in Older Adults With Early-Stage Breast Cancer.

Wen-Juan Huang, Han-Bing Xie, Lin Zhao, Rui-Han Zhou, Shurui Wang, Xin Zhang, Rui-Tao Wang, Zexun Duan

Abstract read
In one paragraph

Article in Journal of breast cancer, 2025. 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
–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

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

8 authors.

Wen-Juan Huang *Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-0874-7331
Han-Bing Xie *Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0009-0001-2477-6108
Lin Zhao *Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0009-0004-7533-5953
Rui-Han ZhouDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0009-0003-3543-2479
Shurui WangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0009-0004-0342-9563
Xin ZhangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-3715-8982
Rui-Tao WangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China. ruitaowang@126.com.ORCID https://orcid.org/0000-0002-4703-7367
Zexun DuanDepartment of Emergency, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China. duanzexun@sohu.com.ORCID https://orcid.org/0009-0005-9625-8341

Funding

Harbin Medical University Cancer Hospital PDTS2024B-01
6 · The paper itself

Abstract

purposeRecent studies have shown that intermuscular adipose tissue (IMAT) is a significant prognostic factor for breast cancer. To date, no clinical studies have investigated whether IMAT can be used to predict chemotherapy toxicity in older adult patients with early-stage breast cancer.

methodsWe included 304 patients diagnosed with stage I-III breast cancer between January 2020 and December 2022 in Harbin Medical University Cancer Hospital. All patients were aged ≥ 65 years and treated with neoadjuvant or adjuvant chemotherapy. IMAT within the pectoralis muscle was measured using computed tomography imaging. Logistic regression analysis was used to identify independent predictors of chemotherapy toxicity. A nomogram was built, and the model performance was assessed using accuracy, discrimination, and clinical benefits. The net reclassification index (NRI) and integrated discrimination improvement (IDI) were used to evaluate changes in model performance after the addition of adipose tissue.

resultsOf the 304 patients (184 in the training cohort and 120 in the validation cohort), 30.3% developed grade 3-5 chemotherapy toxicities. Three independent predictors were identified in the multivariate analysis: hemoglobin level, IMAT area, and primary prophylaxis with granulocyte colony-stimulating factor. The nomogram demonstrated area under the receiver operating characteristic curve values of 0.708 (95% confidence interval [CI], 0.616-0.801) and 0.751 (95% CI, 0.655-0.846) in the training and validation cohorts, respectively. The nomogram showed good calibration (Hosmer-Lemeshow test,

conclusionA nomogram including IMAT may be useful for predicting the individual probability of chemotherapy toxicity and guiding therapy in older adults with early-stage breast cancer.

Indexed as

Adipose TissueAgedBreast NeoplasmsDrug TherapyNomograms

Identifiers

PMID40432352
PMCPMC12230286

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.