Evidence map›Paper›PMID 33318591›Full record

Trial reportScientific reports2020

A negative binomial regression model for risk estimation of 0-2 axillary lymph node metastases in breast cancer patients.

De Zeng, Hao-Yu Lin, Yu-Ling Zhang, Jun-Dong Wu, Kun Lin, Ya Xu, Chun-Fa Chen

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 51% 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.

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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

7 authors at 2 institutions in 1 country.

De ZengDepartment of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou, 515031, China.
Hao-Yu LinDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Yu-Ling ZhangDepartment of Information, Cancer Hospital of Shantou University Medical College, Shantou, 515031, China.
Jun-Dong WuGuangdong Provincial Key Laboratory of Breast Cancer Diagnosis and Treatment, Shantou, 515031, China.
Kun LinDepartment of Public Health and Preventive Medicine, Shantou University Medical College, Shantou, 515041, China.
Ya XuThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, 515031, China.
Chun-Fa ChenThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, 515031, China. chenchunfa@stu.edu.cn.
Shantou University · CNCancer Hospital of Shantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive clinical trials indicate that patients with negative sentinel lymph node biopsy do not need axillary lymph node dissection (ALND). However, the ACOSOG Z0011 trial indicates that patients with clinically negative axillary lymph nodes (ALNs) and 1-2 positive sentinel lymph nodes having breast conserving surgery with whole breast radiotherapy do not benefit from ALND. The aim of this study is therefore to identify those patients with 0-2 positive nodes who might avoid ALND. A total of 486 patients were eligible for the study with 212 patients in the modeling group and 274 patients in the validation group, respectively. Clinical lymph node status, histologic grade, estrogen receptor status, and human epidermal growth factor receptor 2 status were found to be significantly associated with ALN metastasis. A negative binomial regression (NBR) model was developed to predict the probability of having 0-2 ALN metastases with the area under the curve of 0.881 (95% confidence interval 0.829-0.921, P < 0.001) in the modeling group and 0.758 (95% confidence interval 0.702-0.807, P < 0.001) in the validation group. Decision curve analysis demonstrated that the model was clinically useful. The NBR model demonstrated adequate discriminative ability and clinical utility for predicting 0-2 ALN metastases.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsFemaleHumansLymphatic MetastasisMiddle AgedModels, BiologicalSentinel Lymph Node Biopsy

Identifiers

PMID33318591
PMCPMC7736885
OpenAlexW3113144415

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.