Evidence map›Paper›PMID 37096424›Full record

ArticleBiomolecules & biomedicine2023

Developing a predictive nomogram and web-based survival calculator for locally advanced hypopharyngeal cancer: A propensity score-adjusted, population-based study.

Sihao Chen, Shanshan He, Dan Wang, Yi Liu, Shilong Shao, Li Tang, Chao Li, Qiuling Shi, Jifeng Liu, Feng Wang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecules & biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors.

Sihao ChenDepartment of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, China; Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Shanshan HeDepartment of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, China; Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Dan WangDepartment of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, China; Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Yi LiuDepartment of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, China; Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Shilong ShaoSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Li TangCollege of Public Health, Chongqing Medical University, Chongqing, China.
Chao LiDepartment of Radiation Oncology, Sichuan Cancer Hospital and Institute, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.
Qiuling ShiDepartment of Radiation Oncology, Sichuan Cancer Hospital and Institute, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China; State Key Laboratory of Ultrasound in Medicine and Engineering, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Jifeng LiuDepartment of Radiation Oncology, Sichuan Cancer Hospital and Institute, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China; Department of Otolaryngology, Head and Neck Surgery, West China Hospital, Sichuan University, Chengdu, China.
Feng WangDepartment of Medical Oncology, Cancer Center, West China Hospital, West China Medical School, Sichuan University, Sichuan, China.
Shichuan ZhangDepartment of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, China; Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the clinical features and accurately predicting the prognosis of patients with locally advanced hypopharyngeal squamous cell carcinoma (LA-HPSCC) is important for patient centered decision-making. This study aimed to create a multi-factor nomogram predictive model and a web-based calculator to predict post-therapy survival for patients with LA-HPSCC. A retrospective cohort study analyzing Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015 for patients diagnosed with LA-HPSCC was conducted and randomly divided into a training and a validation group (7:3 ratio). The external validation cohort included 276 patients from Sichuan Cancer Hospital, China. The Least Absolute Shrinkage and Selection Operator (LASSO)-Cox regression analysis was used to identify independent factors associated with overall survival (OS) and cancer-specific survival (CSS), and nomogram models and web-based survival calculators were constructed. Propensity score matching (PSM) was used to compare survival with different treatment options. A total of 2526 patients were included in the prognostic model. The median OS and CSS for the entire cohort were 20 (18.6-21.3) months and 24 (21.7-26.2) months, respectively. Nomogram models integrating the seven factors demonstrated high predictive accuracy for 3-year and 5-year survival. PSM found that patients who received surgery-based curative therapy had better OS and CSS than those who received radiotherapy-based treatment (median survival times: 33 months vs 18 months and 40 months vs 22 months, respectively). The nomogram model accurately predicted patient survival from LA-HPSCC. Surgery with adjuvant therapy yielded significantly better survival than definitive radiotherapy. and should be prioritized over definitive radiotherapy.

Indexed as

Head and Neck NeoplasmsHypopharyngeal NeoplasmsHumansInternetNomogramsPropensity ScoreRetrospective StudiesSquamous Cell Carcinoma of Head and Neck

Identifiers

PMID37096424
PMCPMC10494849

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.