Evidence map›Paper›PMID 34422974›Full record

ArticleAnnals of translational medicine2021

A skin

Qianwen Li, Kaili Chen, Yueming Deng, Xiguang Liu, Guozhang Ma, Jinrong Zeng, Jianyun Lu, Ming Zhao, Haijing Wu, Qianjin Lu

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of translational medicine, 2021. 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 49% 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, 1 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

10 authors at 3 institutions in 1 country.

Qianwen LiDepartment of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, China.
Kaili ChenDepartment of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, China.
Yueming DengDepartment of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, China.
Xiguang LiuDepartment of Dermatology, Hei Long Jiang Provincial Hospital, Heilongjiang, China.
Guozhang MaDepartment of Dermatology, Hei Long Jiang Provincial Hospital, Heilongjiang, China.
Jinrong ZengDepartment of Dermatology, Third Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, China.
Jianyun LuDepartment of Dermatology, Third Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, China.
Ming ZhaoDepartment of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, China.
Haijing WuDepartment of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, China.
Qianjin LuDepartment of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, China.
Second Xiangya Hospital of Central South University · CNCentral South University · CNHeilongjiang Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough lupus can be diagnosed by first impression, medical history, physical examination, pathological analysis and laboratory tests, the accurate classification of cutaneous lupus erythematosus (LE) is still a major challenge in the clinic, which might mislead the selection of treatments and miss the right time for the administration of therapies. The goal of this study was to establish a novel kit to assist with the diagnosis and classification of cutaneous lupus.

methodsSixty-five patients from three hospitals were included in this study, including 50 patients with LE and other similar skin diseases. We invited two dermatology specialists to make an accurate diagnosis of the subtypes of lupus based on the patient's clinical features, laboratory examination tests, pathology manifestation analysis, medical treatments and follow-up records. Then, we used their diagnosis results as a standard to which we successively compared the consistency of each step of our diagnosis processes, including impression diagnosis, pathology diagnosis, the combined consideration of the former two diagnostic analyses, and the results of an

resultsBy Cohen's kappa analysis, we found that the results of the

conclusionsThis skin

Indexed as

classificationCutaneous lupusdiagnostic efficiencyin situ immune cell detection kit

Identifiers

PMID34422974
PMCPMC8339827
OpenAlexW3169434141

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.