Evidence map›Paper›PMID 36541255›Full record

ArticleThe British journal of radiology2023

Tri-modality therapy in advanced esophageal carcinoma: long-term results and insights from a developing world, institutional cohort.

Kundan Singh Chufal, Irfan Ahmad, Ram Bajpai, Alexis Andrew Miller, Rahul Lal Chowdhary, Jasbir Makker, Ullas Batra, Shrinidhi Nathany, Muhammed Ismail Sharief, Preetha Umesh and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

16 authors at 3 institutions in 3 countries.

Kundan Singh ChufalDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Irfan AhmadDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.ORCID 0000-0003-2944-6797
Ram BajpaiCentre for Prognosis Research, School of Medicine, Keele University, Staffordshire, United Kingdom.
Alexis Andrew MillerDepartment of Radiation Oncology, Illawara Cancer Care Center, Wollongong, New South Wales, Australia.
Rahul Lal ChowdharyDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Jasbir MakkerNeurogastroenterology and Gastrointestinal Motility Lab, BronxCare Health System, New York, United States.
Ullas BatraDepartment of Medical Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Shrinidhi NathanyDepartment of Molecular Diagnostics, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Muhammed Ismail ShariefDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Preetha UmeshDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Mansi SharmaCentre for Prognosis Research, School of Medicine, Keele University, Staffordshire, United Kingdom.
Patel AmrithCentre for Prognosis Research, School of Medicine, Keele University, Staffordshire, United Kingdom.
Anjali Kakria PahujaDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Jaskaran SethiDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Varghese AntonyDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Munish GairolaDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India.
Rajiv Gandhi Cancer Institute and Research Centre · INKeele University · GBMontefiore Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate treatment outcomes in patients from a low-middle income country (LMIC) with esophageal carcinoma who underwent esophagectomy after neoadjuvant chemoradiation (NACRT/S).

methodsBetween 2010 and 2020, 254 patients (median follow-up: 53 months) met our inclusion criteria. Out-of-field nodal regions were determined by reviewing individual radiotherapy plans. Cox regression modelling was performed to analyze overall survival (OS) and recurrence-free survival (RFS), while pathological complete response (pCR) prediction utilized Poisson regression.

resultsThe median OS was 71.4 months (interquartile range: 19.6-∞), RFS did not reach the median and pCR rate was 46%. On multivariable Cox regression, BMI [0.93 (0.89-0.98); 0.94 (0.89-0.99)] and absence of out-of-field node with extranodal extension (ENE)[0.22 (0.09-0.53); 0.30 (0.12-0.75)] influenced OS and RFS, respectively. Age [1.03 (1.01-1.06)], nodal stage [cN2-3

conclusionNACRT/S is feasible and effective in patients from LMIC. Out-of-field ENE merits further investigation as a prognostic factor since it significantly influenced both OS and RFS. ADVANCES IN KNOWLEDGE: The results of clinical trials are replicable in LMICs. Out-of-field ENE is an independent prognostic factor for OS and RFS.

Indexed as

Carcinoma, Squamous CellEsophageal NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsCombined Modality TherapyHumansNeoadjuvant TherapyNeoplasm StagingPrognosisRetrospective StudiesTreatment Outcome

Identifiers

PMID36541255
PMCPMC9975378
OpenAlexW4312065446

What OpenQuestion holds

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Registered trials

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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.