Evidence map›Paper›PMID 35719966›Full record

ArticleFrontiers in oncology2022

Characteristics, Prognosis, and Competing Risk Nomograms of Cutaneous Malignant Melanoma: Evidence for Pigmentary Disorders.

Zichao Li, Xinrui Li, Xiaowei Yi, Tian Li, Xingning Huang, Xiaoya Ren, Tianyuan Ma, Kun Li, Hanfeng Guo, Shengxiu Chen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

14 authors at 3 institutions in 1 country.

Zichao LiDepartment of Burns and Cutaneous Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Xinrui LiDepartment of Health Statistics, School of Public Health, Fourth Military Medical University, Xi'an, China.
Xiaowei YiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Tian LiCollege of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Xingning HuangCollege of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Xiaoya RenCollege of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Tianyuan MaCollege of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Kun LiCollege of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Hanfeng GuoCollege of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Shengxiu ChenCollege of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Yao MaCollege of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Lei ShangDepartment of Health Statistics, School of Public Health, Fourth Military Medical University, Xi'an, China.
Baoqiang SongDepartment of Plastic Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Dahai HuDepartment of Burns and Cutaneous Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Air Force Medical University · CNSichuan University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cutaneous malignant melanoma (CMM) always presents as a complex disease process with poor prognosis. The objective of the present study was to explore the influence of solitary or multiple cancers on the prognosis of patients with CMM to better understand the landscape of CMM. Methods: We reviewed the records of CMM patients between 2004 and 2015 from the Surveillance, Epidemiology, and End Results Program. The cumulative incidence function was used to represent the probabilities of death. A novel causal inference method was leveraged to explore the risk difference to death between different types of CMM, and nomograms were built based on competing risk models. Results: The analysis cohort contained 165,043 patients with CMM as the first primary malignancy. Patients with recurrent CMM and multiple primary tumors had similar overall survival status (p = 0.064), while their demographics and cause-specific death demonstrated different characteristics than those of patients with solitary CMM ( Conclusion: Patients with different types of CMM had different prognostic characteristics and different risk of cause-specific death. The results of this study are of great significance in identifying the high risk of cause-specific death, enabling targeted intervention in the early period at both the population and individual levels.

Indexed as

causal inferencecause-specific deathcompeting risk modelcutaneous malignant melanoma (CMM)nomogram

Identifiers

PMID35719966
PMCPMC9198425
OpenAlexW4281699217

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.