Evidence map›Paper›PMID 37935786›Full record

ArticleScientific reports2023

A retrospective study of ductoscopy combined with immediate methylene blue staining in nipple discharge diseases.

Wen-Shi Yang, Yan Zhang, Hong-Ling Wang, Feng-Feng Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. 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

4 authors at 1 institution in 1 country.

Wen-Shi YangDepartment of Breast and Thyroid Surgery, The Central People's Hospital of Tengzhou, Tengzhou, 277500, China.
Yan ZhangDepartment of Breast and Thyroid Surgery, The Central People's Hospital of Tengzhou, Tengzhou, 277500, China.
Hong-Ling WangDepartment of Breast and Thyroid Surgery, The Central People's Hospital of Tengzhou, Tengzhou, 277500, China.
Feng-Feng ZhangDepartment of Breast and Thyroid Surgery, The Central People's Hospital of Tengzhou, Tengzhou, 277500, China. 8133839@qq.com.
Tengzhou Central People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effect of fiberoptic ductoscopy (FDS) combined with methylene blue staining immediately after FDS procedure on pathological nipple discharge diseases. A retrospective analysis of the clinical data of 122 patients with nipple discharge, who underwent FDS and surgical treatment at the Department of Breast and Thyroid Surgery of Tengzhou Central People's Hospital, was conducted. The demographic characteristics and surgical outcomes of all patients were assessed. According to the injection time of methylene blue, the patients were divided into the control and the observational groups. In the observational group, methylene blue was injected immediately after ductoscopy and then surgical treatment was performed 12-24 h later, while in the control group, methylene blue injection was just few minutes before surgery treatment. There was no significant difference in the demographic characteristics between the two groups such as age and disease course, in the observational group, the incision length 2.39 (0.48) cm, the volume of resected tissue 41.93 (40.57) cm

Indexed as

Breast NeoplasmsNipple DischargeSurgical WoundEndoscopyFemaleHumansMethylene BlueNipplesRetrospective StudiesStaining and LabelingMethylene Blue

Identifiers

PMID37935786
PMCPMC10630295
OpenAlexW4388465619

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.