Evidence map›Paper›PMID 35251176›Full record

ArticleJournal of oncology2022

A Predictive Model for Nonsentinel Node Status after Sentinel Lymph Node Biopsy in Sentinel Lymph Node-Positive Chinese Women with Early Breast Cancer.

Lifang He, Peide Liang, Huancheng Zeng, Guangsheng Huang, Jundong Wu, Yiwen Zhang, Yukun Cui, Wenhe Huang

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Lifang HeBreast Center, Cancer Hospital of Shantou University Medical College, Shantou 515000, Guangdong Province, China.ORCID https://orcid.org/0000-0002-5794-2694
Peide LiangBreast Center, Cancer Hospital of Shantou University Medical College, Shantou 515000, Guangdong Province, China.ORCID https://orcid.org/0000-0002-6718-0531
Huancheng ZengBreast Center, Cancer Hospital of Shantou University Medical College, Shantou 515000, Guangdong Province, China.ORCID https://orcid.org/0000-0002-1821-4168
Guangsheng HuangBreast Center, Cancer Hospital of Shantou University Medical College, Shantou 515000, Guangdong Province, China.ORCID https://orcid.org/0000-0002-9909-9973
Jundong WuBreast Center, Cancer Hospital of Shantou University Medical College, Shantou 515000, Guangdong Province, China.ORCID https://orcid.org/0000-0003-0607-8960
Yiwen ZhangBreast Center, Cancer Hospital of Shantou University Medical College, Shantou 515000, Guangdong Province, China.ORCID https://orcid.org/0000-0001-9969-5647
Yukun CuiGuangdong Provincial Key Laboratory for Breast Cancer Diagnosis and Treatment, Cancer Hospital of Shantou University Medical College, Shantou 515000, Guangdong Province, China.ORCID https://orcid.org/0000-0001-5789-3215
Wenhe HuangDepartment of Breast and Thyroid Surgery, Xiang'an Hospital of Xiamen University, No. 2000, Xiang'an East Road, Xiamen 361101, Fujian Province, China.ORCID https://orcid.org/0000-0003-4500-4139
Shantou University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAxial lymph node dissection (ALND) is needed in patients with positive sentinel lymph node (SLN). ALND is easy to cause upper limb edema. Therefore, accurate prediction of nonsentinel lymph nodes (non-SLN) which may not need ALND can avoid excessive dissection and reduce complications. We constructed a new prognostic model to predict the non-SLN metastasis of Chinese breast cancer patients.

methodsWe enrolled 736 patients who underwent sentinel lymph node biopsy (SLNB); 228 (30.98%) were diagnosed with SLNB metastasis which was determined by intraoperative pathological detection and further accepted ALND. We constructed a prediction model by univariate analysis, multivariate analysis, "R" language, and binary logistic regression in the abovementioned 228 patients and verified this prediction model in 60 patients.

resultsBased on univariate analysis using

conclusionsThis study established a model which demonstrated good prognostic performance in assessing the risk of non-SLN metastasis in Chinese patients with positive SLNs.

Identifiers

PMID35251176
PMCPMC8894031
OpenAlexW4213415269

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.