Evidence map›Paper›PMID 35642571›Full record

Trial reportJapanese journal of clinical oncology2022

Development and validation of a nomogram for prognosis of sinonasal adenocarcinoma (a nomogram for sinonasal adenocarcinoma).

Hesen Huang, Kaiqin Chen, Lifeng Deng, Yaling Chen, Dean Zhao, Wei Lin

Erratum issuedOpen access · bronzeAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Japanese journal of clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Hesen HuangDepartment of Otolaryngology-Head and Neck Surgery, Xiang'an Hospital of Xiamen University, Xia Men, Fu Jian, China.ORCID 0000-0003-4375-995X
Kaiqin ChenDepartment of Neurosurgery, Xiang'an Hospital of Xiamen University, Xia Men, Fu Jian, China.
Lifeng DengQuanzhou Medical College, Quanzhou, Fujian, China.
Yaling ChenDepartment of Otolaryngology-Head and Neck Surgery, Xiang'an Hospital of Xiamen University, Xia Men, Fu Jian, China.
Dean ZhaoDepartment of Otolaryngology-Head and Neck Surgery, Xiang'an Hospital of Xiamen University, Xia Men, Fu Jian, China.
Wei LinDepartment of Otorhinolaryngology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Xiamen University · CNFujian Medical University · CNQuanzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of sinonasal adenocarcinoma is low, and there are few studies on survival and prognosis. Therefore, we aim to develop and validate a prognostic model for predicting the overall survival of sinonasal adenocarcinoma and provide guidance for clinical management.

methodsPatients who were diagnosed as sinonasal adenocarcinoma through Surveillance, Epidemiology, and End Results database between 1975 and 2015 were randomly divided into a training group and validation group. Univariate, multivariate survival analysis was performed to screen independent survival factors. A nomogram was established to predict the overall survival rate of sinonasal adenocarcinoma. Receiver operating characteristic curve and calibration plot were performed to verify the discrimination and accuracy of the model. A decision curve analysis was performed to verify the clinical applicability of the model.

resultsA total of 423 patients with sinonasal adenocarcinoma were randomly divided into training group (n = 299) and verification group (n = 124). We established and verified the Nomo map including age, marriage, grade, surgery and tumour size. The c-index of Surveillance, Epidemiology, and End Results stage, T stage and this model are 0.635, 0.626 and 0.803, respectively. The survival rate of the high-risk group scored by this model was lower than that of the low-risk group (P < 0.001). Decision curve analysis shows that the model has advantages in predicting survival rates.

conclusionOur model is considered to be a useful tool for predicting the overall survival of sinonasal adenocarcinoma, with good discrimination and clinical applicability. We hope that this model will help rhinologists to make clinical decisions and manage patients diagnosed with sinonasal adenocarcinoma.

Indexed as

AdenocarcinomaParanasal Sinus NeoplasmsHumansNomogramsPrognosisSEER ProgramSurvival Rateand End Results (SEER) databaseEpidemiologynomogramprognosissinonasal adenocarcinoma (SNAC)Surveillance

Identifiers

PMID35642571
OpenAlexW4282919712

What OpenQuestion holds

Textmetadata
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.