Evidence map›Paper›PMID 37180197›Full record

ReviewIndian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India

Evaluation of New Tracers in the Identification of Sentinel Lymph Node in Patients with Early Breast Cancer.

Anurag Srivastava, Amit Goyal, Vuthaluru Seenu, Rakesh Kumar

Open access · greenAbstract readReview
In one paragraph

Review in Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India. 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
0.5field-weighted citation impact, top 28% 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, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

4 authors at 1 institution in 2 countries.

Anurag SrivastavaDepartment of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.
Amit GoyalDepartment of Breast Surgery, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, United Kingdom.
Vuthaluru SeenuDepartment of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.
Rakesh KumarDepartment of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India.
University Hospitals of Derby and Burton NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sentinel node mapping is the standard of care for evaluation of axilla for women with early node negative breast cancer. Validation of a new tracer for sentinel node biopsy requires full axillary lymph node dissection to establish its performance indicators. This exposes about 70% of women to unnecessary axillary dissection with its attendant morbidity. Aims and Objective: To investigate the predictive value of identification of sentinel lymph nodes by a tracer for knowing its sensitivity and false-negative rates (FNR). Methods: A linear regression on data from a network meta-analysis was carried out, and the correlation between identification and sensitivity and its predictive value were ascertained. Results: A strong linear relationship was observed between identification and sensitivity of sentinel node biopsy (correlation coefficient Conclusion: The linear regression demonstrated a very high predictive value of identification rate for ascertaining the sensitivity and FNRs of sentinel node biopsy. A new tracer for sentinel node biopsy can be introduced in clinical practice, if it achieves an identification rate of 93% or more.

Indexed as

Breast cancerfalse negativityidentification ratelinear regressionsensitivitysentinel node biopsy

Identifiers

PMID37180197
PMCPMC10171750
OpenAlexW4321639256

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.