Evidence map›Paper›PMID 36544690›Full record

ArticleAnnals of translational medicine2022

Patterns of care and prognostic evaluation for stage I-III upper esophageal squamous cell carcinoma: a population-based study.

Dongbo Chen, Xiaozhu Zha, Dongmei Ye, Mei Kang, Liyang Zhu, Mingwei Yang, Yu Chen, Kechao Zhu, Wanli Xia, Zhi Wang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. 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
1.1field-weighted citation impact, top 22% 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, 5 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

11 authors at 3 institutions in 1 country.

Dongbo Chen *Department of Radiation Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaozhu Zha *Department of Traditional Chinese Medicine, Anqing Medical College, Anqing, China.
Dongmei YeDepartment of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Mei KangDepartment of Radiation Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Liyang ZhuDepartment of Radiation Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Mingwei YangDepartment of Radiation Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yu ChenDepartment of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Kechao ZhuDepartment of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Wanli XiaDepartment of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhi WangDepartment of Radiation Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yichun WangDepartment of Radiation Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CNAnqing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is no strong evidence regarding the optimal treatment and specific prognosis prediction model for upper esophageal squamous cell carcinoma (UESCC). This study aimed to investigate the real-world treatment patterns and develop models to predict overall survival (OS) and esophageal cancer-specific survival (ECSS) in patients with stage I-III UESCC. Methods: Patients with T1-4N0-3M0 UESCC in the Surveillance, Epidemiology, and End Results (SEER) database were identified from 2010 to 2017, and randomized to a training cohort and a validation cohort. The effect of treatment patterns on survival were comprehensively analyzed. Nomograms were developed by incorporating independent prognostic factors analyzed by Cox regression in the training cohort and evaluated by the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analyses (DCA) in two cohorts. Results: A total of 677 patients were identified, including 452 in the training cohort and 225 in the validation cohort. Among all populations, 71.9% (487) received chemoradiotherapy without surgery, and chemoradiotherapy or/and surgery showed better survival than other treatments. However, surgery was rarely carried out for patients with stage II-III. T stage, N stage, surgery, chemotherapy, and radiotherapy were independent risks for both OS and ECSS, while age was also an independent risk for OS. The C-indexes for nomograms to predict OS (0.71 and 0.72) and ECSS (0.70 and 0.73) were greater than 7th AJCC staging system to predict OS (0.61 and 0.64) and ECSS (0.64 and 0.64) in both the training cohort and the validation cohort. Time-dependent ROC curves and DCA also suggested that nomograms performed consistently better than 7th AJCC staging system. The calibration curves demonstrated good consistency in predicting survival. Conclusions: Chemoradiotherapy was a major treatment with preferable survival for patients with stage I-III UESCC. We have firstly developed and validated prognostic nomograms in patients with stage I-III UESCC, which would play a supplementary role in the current staging system.

Indexed as

chemoradiotherapyEsophageal cancernomogramprognosisSurveillance, Epidemiology, and End Results (SEER)

Identifiers

PMID36544690
PMCPMC9761128
OpenAlexW4312114727

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.