Evidence map›Paper›PMID 32382347›Full record

ArticleOncology letters2020

A challenging therapeutic method for breast cancer: Non-lipolytic endoscopic axillary surgery through periareolar incisions.

Yongqianq Chen, Jianhua Xu, Yinghui Liang, Xiaoshan Zeng, Shuangta Xu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
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

5 authors at 2 institutions in 1 country.

Yongqianq ChenDepartment of Thyroid Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China.
Jianhua XuDepartment of Thyroid Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China.
Yinghui LiangDepartment of Thyroid Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China.
Xiaoshan ZengDepartment of Thyroid Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China.
Shuangta XuDepartment of Thyroid Breast Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China.
Second Affiliated Hospital of Fujian Medical University · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical treatment of breast cancer is becoming increasingly precise, less invasive, and more cosmetically pleasing. Sentinel lymph node biopsy (SLNB) and axillary lymph node dissection (ALND) remain the standard treatment methods for breast cancer. However, these methods still require incisions in the breasts or axilla. Mastoscopic axillary lymph node dissection (MALND) surgery, although first reported several years ago, has not been widely used as it involves lipolysis. Non-lipolytic mastoscopy may be more appealing; however, the lack of a cavity in the breast and the abundant fat and glands make this procedure challenging. In addition, incision of the trocar in the axilla has been shown to have no advantage over traditional breast-conserving surgery. The present study describes 16 cases of non-lipolytic endoscopic axillary surgery without incisions in the axilla.

Indexed as

axillary lymph node dissectionendoscopylipolysismastoscopynon-lipolyticsentinel lymph node biopsy

Identifiers

PMID32382347
PMCPMC7202305
OpenAlexW3014972512

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.