Evidence map›Paper›PMID 33469363›Full record

ArticleCancer management and research2021

Distance Between the Tumour and Nipple as a Predictor of Axillary Lymph Node Involvement in Breast Cancer.

Jiqiao Yang, Qianru Yang, Arjudeb Mukherjee, Qing Lv

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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.

Jiqiao Yang *Department of Breast Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Qianru Yang *Department of Breast Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Arjudeb MukherjeeWest China School of Medicine/West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China.
Qing LvDepartment of Breast Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.ORCID 0000-0003-0529-1567
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe possibility of axillary node metastasis via the lymphatics might be related to a cancer's location within the breast. Previous studies of this topic had small sample sizes, inaccuracies because of subjective differences, and the inability to depict the entire three-dimensional structure of the breast. Here, we aimed to improve upon these existing drawbacks by retrospectively analysing whether tumour location (quadrants) and tumour-nipple distance can predict axillary node positivity. PATIENTS AND

methodsWe identified 961 patients with invasive breast cancer between January 2000 and April 2016. The tumour-nipple distance was objectively measured intraoperatively and clinicopathological information was extracted from hospital database. The distance was measured radially from the nipple to the epicentre rather than the edge of tumour to obviate confounders resulting from tumour size variations.

resultsA total of 847 breast cancers (839 patients) met the eligibility criteria and were included in the statistical analysis. The tumour-nipple distance was smaller in node-positive patients (n = 307; 2.76 ± 2.07 cm) than in node-negative patients (n = 297; 3.41 ± 2.18 cm) (

conclusionTumour-nipple distance can be used to predict axillary lymph node metastasis and assist in surgical decision-making and therapy planning. However, exploratory studies are required to increase our understanding of the mechanism.

Indexed as

axillary lymph node metastasisbreast cancertumour locationtumour–nipple distance

Identifiers

PMID33469363
PMCPMC7810584
OpenAlexW3118834608

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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.