Evidence map›Paper›PMID 38090380›Full record

ArticleCancer innovation2023

Development and validation of a nomogram to predict cardiac death after radiotherapy for esophageal cancer.

Xinfang Lv, Xue Wu, Kai Liu, Xinke Zhao, Chenliang Pan, Jing Zhao, Juan Chang, Huan Guo, Xiang Gao, Xiaodong Zhi and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Cancer innovation, 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
0.6field-weighted citation impact, top 29% 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, 2 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

15 authors at 4 institutions in 1 country.

Xinfang LvDepartment of Geriatrics Affiliated Hospital of Gansu University of Traditional Chinese Medicine Lanzhou Gansu China.ORCID https://orcid.org/0000-0002-2483-2202
Xue WuSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Kai LiuSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Xinke ZhaoSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Chenliang PanCardiovascular Disease Center, The First Hospital of Lanzhou University Lanzhou Gansu China.
Jing ZhaoCardiovascular Disease Center, The First Hospital of Lanzhou University Lanzhou Gansu China.
Juan ChangDepartment of Traditional Medicine Gansu Provincial Hospital Lanzhou Gansu China.
Huan GuoCenter for Translational Medicine, Gansu Provincial Academic Institute for Medical Research Lanzhou Gansu China.
Xiang GaoSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Xiaodong ZhiSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Chunzhen RenSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Qilin ChenSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Hugang JiangSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Chunling WangSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Ying-Dong LiSchool of Integrative Medicine, Gansu University of Chinese Medicine Lanzhou Gansu China.
Gansu University of Traditional Chinese Medicine · CNFirst Hospital of Lanzhou University · CNGansu Provincial Cancer Hospital Gansu Provincial Academic Instiute for Medical Research · CNGansu Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients frequently die from cardiac causes after radiotherapy for esophageal cancer. Early detection of cardiac death risk in these patients is crucial to improve clinical decision-making and prognosis. Thus, we modeled the risk of cardiac death after irradiation for esophageal cancer. Methods: A retrospective analysis of 37,599 esophageal cancer cases treated with radiotherapy in the SEER database between 2000 and 2018 was performed. The selected cases were randomly assigned to the model development group ( Results: The major risk factors for cardiac death were age, surgery, year of diagnosis, sequence of surgery and radiotherapy, chemotherapy and a number of tumors, which were used to create the nomogram. The C-indexes of the nomograms were 0.708 and 0.679 for the development and validation groups, respectively. DCA showed the good net clinical benefit of nomograms in predicting 5- and 10-year risk of cardiac death. The model exhibited moderate predictive power for 5- and 10-year cardiac mortality (AUC: 0.833 and 0.854, respectively), and for the development and validation cohorts (AUC: 0.76 and 0.813, respectively). Conclusions: Our nomogram may assist clinicians in making clinical decisions about patients undergoing radiotherapy for esophageal cancer based on early detection of cardiac death risk.

Indexed as

cardiac deathcardio‐oncologyesophageal cancernomogramradiotherapy

Identifiers

PMID38090380
PMCPMC10686179
OpenAlexW4386377306

What OpenQuestion holds

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LicenceCC BY
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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.