Evidence map›Paper›PMID 39944436›Full record

ArticleCureus2025

Comparison of Recurrence Risk Prediction by the CanAssist Breast Test and the PREDICT Online Tool in Early Breast Cancer Patients.

Rajeev Kumar, Garima Daga, Prerit Sharma, Anupam Lahiri, Arnab Chakraborty, Anuj Mehta, D C Doval, Pankaj Goel, Vineet Talwar

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Rajeev KumarSurgical Oncology, Breast Services, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, IND.
Garima DagaSurgical Oncology, Breast Services, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, IND.
Prerit SharmaSurgical Oncology, Rajiv Gandhi Super Speciality Hospital, New Delhi, IND.
Anupam LahiriSurgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, IND.
Arnab ChakrabortySurgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, IND.
Anuj MehtaSurgical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, IND.
D C DovalMedical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, IND.
Pankaj GoelMedical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, IND.
Vineet TalwarMedical Oncology, Breast Services, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Several methods, such as multi-marker (both gene/protein) tests and online/free tools, are available for the prognostication of early breast cancer (EBC) patients. This article compares the risk assessment between the immunohistochemistry-based (IHC) CanAssist Breast (CAB) test and the online/free prognostic tool PREDICT in EBC patients treated at Rajiv Gandhi Cancer Institute and Research Centre (RGCIRC) between May 2017 and June 2022. Methodology The current study cohort comprises 130 patients. Risk proportions were assessed by CAB and the online/free tool PREDICT. Concordance between the risk groups of CAB and PREDICT was assessed by the kappa coefficient, which was used to evaluate the significance. Results The low-risk (LR) and high-risk (HR) proportions for CAB and PREDICT were 61:39 and 46:54 percent, respectively. CAB stratified a significantly (

Indexed as

canassist breastearly breast cancerestrogen & progesterone receptorher2/neu negativehormone receptor positivekappa correlation coefficient.online prognostic toolspredict

Identifiers

PMID39944436
PMCPMC11815305

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