Evidence map›Paper›PMID 33013111›Full record

ArticleIndian journal of surgical oncology2020

Patterns of Failure After Trimodal Treatment in Esophageal Squamous Cell Carcinoma: Initial Experiences from a High-Risk Endemic Area.

Sheikh Zahoor Ahmad, Azhar Jan Battoo, Altaf Gauhar Haji, Shah Naveed, Mariya Amin Qurieshi, Abdul Wahid Mir, Tariq Rasool Malik

Abstract read
In one paragraph

Article in Indian journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sheikh Zahoor AhmadDepartment of Surgical Oncology, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, J&K 190011 India.ORCID 0000-0001-5315-3279
Azhar Jan BattooDepartment of Surgical Oncology, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, J&K 190011 India.
Altaf Gauhar HajiDepartment of Surgical Oncology, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, J&K 190011 India.
Shah NaveedDepartment of Surgical Oncology, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, J&K 190011 India.
Mariya Amin QurieshiDepartment of Community Medicine, Government Medical College, Srinagar, 190002 India.
Abdul Wahid MirDepartment of Surgical Oncology, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, J&K 190011 India.
Tariq Rasool MalikDepartment of Radiation Oncology, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, 190011 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurrence is a significant problem faced in patients with esophageal cancer even after treatment with trimodal approach. We report patterns of failure in our patients of esophageal squamous cell cancer (ESCC) treated with trimodal approach. This is a single-institution retrospective analysis of 46 patients of locally advanced ESCC (treated between 2013 and 2017) managed by trimodal treatment approach. Variables were summarized using descriptive statistics. Survival statistics were estimated using Kaplan-Meier method. With a median follow-up of about 28 months, we noted an overall recurrence rate of 37% (17/46), with most of the failures being distant, with or without locoregional recurrence (4 isolated distant and 6 combined distant and locoregional). Median RFS was 34 months and median OS was yet to be reached at the last follow-up. To conclude, optimization of treatment approaches in ESCC is of utmost importance and need of the hour to further improve outcomes in these patients.

Indexed as

CancerEsophagusNeoadjuvant chemoradiationSquamous cell carcinomaTrimodal therapy

Identifiers

PMID33013111
PMCPMC7501327

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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.