Evidence map›Paper›PMID 39915736›Full record

Trial reportBMC cancer2025

A comparative study of mitoxantrone hydrochloride injection and technetium-99 m for tracing axillary sentinel nodes in patients with breast cancer.

Dechuang Jiao, Xiuchun Chen, Xianfu Sun, Zhenduo Lu, Hao Dai, Chengzheng Wang, Chongjian Zhang, Lianfang Li, Jianghua Qiao, Zhenzhen Liu

Abstract readComparative StudyClinical Trial, Phase III
In one paragraph

Trial report in BMC 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

10 authors.

Dechuang Jiao *Department of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Xiuchun Chen *Department of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Xianfu Sun *Department of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Zhenduo LuDepartment of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Hao DaiDepartment of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Chengzheng WangDepartment of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Chongjian ZhangDepartment of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Lianfang LiDepartment of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Jianghua QiaoDepartment of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China.
Zhenzhen LiuDepartment of Breast Disease, Henan Breast Cancer Centre, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, 450008, China. zlyyliuzhenzhen0800@zzu.edu.cn.

Funding

Henan Province Key Research and Development and Promotion of Special Scientific and Technological Research Projects 232102311125Henan Province young and middle-aged health science and technology innovation talent -leading talent project LJRC2023003
6 · The paper itself

Abstract

purposeAn earlier multicenter phase III study demonstrated the safety and efficacy of mitoxantrone hydrochloride injection for tracing (MHI) for detecting sentinel lymph nodes (SLNs) in breast cancer patients. This ancillary study was conducted to further analyze and discover differences between the two tracers that had not been reported previously.

methodsThis analysis used single-center data from a phase III trial. Patients with breast cancer were injected with both MHI and 99mTc as SLN tracers before surgery. To account for cluster effects of multiple SLNs from the same patient and further analyze the differences between the two methods and factors that could impact detection, Obuchowski's modified McNemar test, the GLIMMIX model, and univariate and multivariate analyses were used as appropriate.

resultsIn total, 463 SLNs from 109 patients were resected, 47 of which were pathologically positive. The SLN detection rate did not significantly differ between MHI and 99mTc. MHI blue staining was an independent predictor of pathological positivity (OR 3.58, 95% CI: 1.21-10.60, p = 0.02), while the 99mTc signal was not significant in the same model (p = 0.39).

conclusionMHI was comparable to 99mTc in safety and SLN detection rates but differed in sensitivity on positive SLNs.

Indexed as

Breast NeoplasmsMitoxantroneRadiopharmaceuticalsSentinel Lymph NodeSentinel Lymph Node BiopsyTechnetiumAdultAgedAxillaFemaleHumansLymphatic MetastasisMiddle AgedRadionuclide ImagingMitoxantroneRadiopharmaceuticalsTechnetiumTechnetium-9999mTcBreast cancerMitoxantrone hydrochloride injection for tracingSentinel lymph node biopsySLN

Identifiers

PMID39915736
PMCPMC11804033

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.