Evidence map›Paper›PMID 41939262›Full record

ArticleClinical, cosmetic and investigational dermatology2026

A Nomogram Predicting Decreased Quality of Life in Patients with Keloids.

Shu Xu, Yuting Huang, Li Zhang, Yuqi Wu, Hao Zhang, Jiawen Wu, Zhifeng Gu, Chen Dong

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2026. 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
–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

0 citing papers in PubMed.

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

8 authors.

Shu Xu *Department of Dermatology, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.
Yuting Huang *Department of Dermatology, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.
Li Zhang *Department of Dermatology, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.
Yuqi WuDepartment of Dermatology, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.
Hao ZhangDepartment of Dermatology, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.
Jiawen WuDepartment of Dermatology, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.
Zhifeng GuResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.ORCID 0000-0002-3275-0733
Chen DongResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.ORCID 0000-0003-4975-6426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Most keloid patients have a low quality of life (QoL), which affects their prognosis. Our aim was to identify risk factors for a decreased QoL in patients with keloids and to create a predictive nomogram for this condition. Patients and Methods: The Dermatology Life Quality Index (DLQI) is used to assess patients' QoL, with a DLQI score >10 indicated a decreased QoL. We used multivariate logistic regression to assess QoL in patients with keloids for predictive modeling. We assessed the predictive and clinical value of the nomograms using the consistency index (C-index), area under the curve (AUC), and decision curve analysis (DCA). Results: The risk factors that associated with a decreased QoL in patients with keloids are smoking (OR = 2.463, 95% CI = 1.031-5.880, Conclusion: Our study found that people with keloids currently experience a poor QoL, and that nomograms can assist dermatologists in predicting which patients are at higher risk for a further decline in QoL.

Indexed as

anxietykeloidsnomogramquality of life

Identifiers

PMID41939262
PMCPMC13044456

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.