Evidence map›Paper›PMID 40978651›Full record

ArticleBioinformation2025

Analytical study on systemic lupus erythematosus and its association with cutaneous manifestations.

Nutheti Pavani, Himanshu Dua, Mohammed Zakiullah Shareef, Megha Joy, Trisha Hammigi, Sobiya Farook, Kosmita Karki

Abstract read
In one paragraph

Article in Bioinformation, 2025. 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

7 authors.

Nutheti PavaniDepartment of Dermatology, Madras Medical College, Chennai, Tamil Nadu, India.
Himanshu DuaDepartment of Pediatrics, N.K.P. Salve Institute of Medical Sciences & Research Centre and Lata Mangeshkar Hospital Nagpur, Maharashtra, India.
Mohammed Zakiullah ShareefDepartment of Internal Medicine, Satyadev Multispeciality Hospital, Anakapalle Andhra Pradesh 531001, India.
Megha JoyDepartment of General Medicine, Queen Elizabeth The Queen Mother Hospital (QEQM), Margate, Kent CT9 4AN, UK.
Trisha HammigiDepartment of Obstetrics and Gynaecology, Madras Medical College, Chennai, Tamil Nadu, India.
Sobiya FarookDepartment of Medicine, East Lancashire Hospital NHS Trust, Royal Blackburn Hospital, Blackburn BB2 3HH, UK.
Kosmita KarkiDepartment of Medicine, Nepal Manipal College of Medical Science, Fulbari, Pokhara - 11 , Kaski 33700, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a chronic multisystem autoimmune illness with cutaneous involvement being the most frequent of its clinical presentations. Therefore, it is of interest to determine the prevalence and patterns of cutaneous manifestations among SLE patients and their relationship with disease activity. Data comparison of 120 SLE patients was done based on demographic profile, nature of the cutaneous lesions and association with disease activity indices like the SLE disease activity index (SLEDAI). It was found that 75% of the patients presented with cutaneous involvement, of which malar rash was the most frequent manifestation, followed by discoid lesions and photosensitivity. Higher SLEDAI scores were significantly associated with more severe cutaneous symptoms (p < 0.01). The findings underscore the importance of early recognition and treatment of skin lesions for optimal disease outcome in SLE patients.

Indexed as

cutaneous manifestationsdisease activitymalar rashSLE Disease Activity Index (SLEDAI)Systemic lupus erythematosus (SLE)

Identifiers

PMID40978651
PMCPMC12449513

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.