Evidence map›Paper›PMID 37811068›Full record

ArticleAnnals of medicine and surgery (2012)2023

Prediction of negative axillary node clearance by sentinel node-positive to total node ratio: a retrospective cohort study.

Jemima Rosen, Lara R Manley, Arun Patel, Tasha Gandamihardja, Ahsan Rao

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2023. 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 31% 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, 1 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

5 authors at 2 institutions in 2 countries.

Jemima RosenBroomfield Hospital, Mid and South Essex NHS Foundation Trust, Broomfield, Chelmsford, UK.
Lara R ManleyBroomfield Hospital, Mid and South Essex NHS Foundation Trust, Broomfield, Chelmsford, UK.
Arun PatelBroomfield Hospital, Mid and South Essex NHS Foundation Trust, Broomfield, Chelmsford, UK.
Tasha GandamihardjaBroomfield Hospital, Mid and South Essex NHS Foundation Trust, Broomfield, Chelmsford, UK.
Ahsan RaoBroomfield Hospital, Mid and South Essex NHS Foundation Trust, Broomfield, Chelmsford, UK.
Creative Commons · USBroomfield Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Increasing evidence suggests that de-escalation of axillary surgery is safe, without significantly impacting patient outcome. Obtaining positive lymph nodes at a sentinel lymph node biopsy (SNB) can guide decisions toward the requirement of axillary nodal clearance (ANC). However, methods to predict how many further nodes will be positive are not available. This study investigates the feasibility of predicting the likelihood of a negative ANC based on the ratio between positive nodes and the total number of lymph nodes excised at SNB. Methods: Retrospective data from January 2017 to March 2022 was collected from electronic medical records. Patients with oestrogen receptor (ER) positive and HER2 negative receptor disease were included in the study. ER-negative and HER2-positive disease was excluded, alongside patients who had chemotherapy before ANC. Results: Of 102 patients, 58.8% ( Conclusion: A low SNB ratio of less than 0.33 (1/3) has a high specificity in excluding the upgradation of nodal staging on completion of ANC, with a false-negative rate of less than 5%. This may be used to identify patients with a low risk of axillary metastasis, who can avoid ANC.

Indexed as

axillary node clearanceaxillary surgerybreast cancerbreast surgerysentinel node biopsy

Identifiers

PMID37811068
PMCPMC10553108
OpenAlexW4385762433

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.