Evidence map›Paper›PMID 25419059›Full record

ArticleIndian journal of surgical oncology2014

Evaluation and Validation of Neo-Adjuvant Response Index (NRI) and It's Correlation with Various Predictive Biomarkers and RECIST in Locally Advanced Breast Cancer.

Rahul Bamal, Chintamani, Megha Tandon, M K Mittal, Sunita Saxena

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Article in Indian journal of surgical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 6 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

5 authors at 2 institutions in 1 country.

Rahul BamalDepartment of Surgery, VMMC and Safdarjung Hospital, New Delhi, India.
ChintamaniDepartment of Surgery, VMMC and Safdarjung Hospital, New Delhi, India.
Megha TandonDepartment of Surgery, VMMC and Safdarjung Hospital, New Delhi, India.
M K MittalDepartment of Radiodiagnosis VMMC, Safdarjang Hospital New Delhi, New Delhi, India.
Sunita SaxenaIndian Council of Medical Research, Institute of Pathology Safdarjang Hospital New Delhi, New Delhi, India.
Safdarjang Hospital · INIndian Council of Medical Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResponse evaluation following neo-adjuvant chemotherapy in breast cancer is usually done without taking in to account the axillary response and the available tools like 'response evaluation criteria in solid tumors' (RECIST) have this limitation. These criteria rely solely on the response observed in the primary tumour. Neoadjuvant response index is one such attempt to have a comprehensive assessment of response both in the primary tumour and the axilla.

methods30 cases of locally advanced breast cancer (LABC) were assessed for response using 'Neo-adjuvant Response Index'. The index always gives score between '0' (no response or progressive disease) and '1' (pathological complete response i.e. no invasive tumor in breast as well as axilla). This index includes axillary response as well and provides a spectrum of response rather than dividing patients into simply responders and non-responders .

resultsMean reading of index was found to be 0.2925 in this study. Three patients achieved an index of 1. This index correlates significantly with the existing scales for assessing response. Hormone negative tumors were found to be more chemo responsive with higher rates of pathological complete response (pCR) while ER/PR + Her2- tumors showed a very poor response to NACT.

conclusionsBased on the observations of the present study it may be submitted that Neoadjuvant Response Index (NRI) is a reliable and simple tool that can serve as a comprehensive and accurate method of assessing response to neo-adjuvant chemotherapy as it takes in to consideration both the tumor and axillary response unlike the existing RECIST, binary system (responders are those with greater than 50 % reduction), RCB method and the available biomarkers. This study being first of it's kind in Indian population, in spite of it's limitations, could prove to be a launching ground for further reasearch and contribute substantially to the evidence base.

Indexed as

LABCLocally advanced breast cancerNeo-adjuvant response indexNRIRECIST

Identifiers

PMID25419059
PMCPMC4235867
OpenAlexW2018689798

What OpenQuestion holds

Textmetadata
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.