Evidence map›Paper›PMID 39119310›Full record

ArticleIndian journal of dermatology

Biomarkers in Psoriasis: The Future of Personalised Treatment.

Bikash R Kar, Dharshini Sathishkumar, Sushil Tahiliani, Anchala Parthasarathi, Shekhar Neema, Satyaki Ganguly, K Venkatachalam, Shrichand G Parasramani, Haritha Komeravelli, Jaykar Thomas

Abstract read
In one paragraph

Article in Indian journal of dermatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. A review of core immuno-inflammatory mechanisms and key regulatory targets in psoriasis.American journal of clinical and experimental immunology · 2026
    Review
  5. Review
  6. Review
  7. Psoriatic Arthritis: From Diagnosis to Treatment.Journal of clinical medicine · 2025
    Review
  8. Review
  9. Article
  10. Review
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.

Bikash R KarFrom the Department of DVL, IMS and SUM Hospital, Bhubaneswar, Odisha, India.
Dharshini SathishkumarDepartment of DVL, CMC, Vellore, Tamil Nadu, India.
Sushil TahilianiSenior Consultatnt, P. D. Hinduja Hospital and Research Centre, Mumbai, Maharashtra, India.
Anchala ParthasarathiDirector Anchala Skin Institute and Research Centre, Hyderabad, Telangana, India.
Shekhar NeemaDepartment of DVL, AFMC, Pune, Maharashtra, India.
Satyaki GangulyDepartment of DVL, AIIMS, Raipur, Chhattisgarh, India.
K VenkatachalamDepartment of DVL, RIMS, Srikakulam, Andhra Pradesh, India.
Shrichand G ParasramaniDepartment of DVL, Leelavati Hospital, Mumbai, Maharashtra, India.
Haritha KomeravelliConsultant Dermatologist, Hyderabad, Telangana, India.
Jaykar ThomasSenior Consultant Dermatologist at Apollo Hospitals & KK Child Trust Hospital, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriasis is a chronic and complex immune-mediated papulosquamous disease affecting almost 2% of the world population. The interaction between a genetically predisposed individual and environmental triggers leads to a vicious cycle involving autoreactive T cells, dendritic cells, keratinocytes and dermal cells. Up to 40% of the psoriasis cases develop disabling psoriatic arthritis and an equal number of patients also tend to develop metabolic syndrome as well as cardiovascular comorbidities; hence, this is no more considered to be a disease limited to skin only. Being a systemic disease, there is an urgent need to develop potential biomarkers for the assessment of disease severity, prediction of outcome of the therapeutic intervention and association with various systemic comorbidities. Diverse genetic markers not only function as predictors of diseases pathogenesis, but also help to predict development of psoriasis and psoriatic arthritis. Personalised medicine is customising the therapeutic needs of a psoriasis patient and improving the outcome as per the hints we receive from the various biomarkers. This review deals with the list of potential biomarkers proposed to be useful in psoriasis, though there is limited data validating their routine use in clinical practice and the progress so far made in the field of precision medicine for psoriasis.

Indexed as

Biomarkerscomorbiditiesgenetic markerspredictive factorspsoriasis

Identifiers

PMID39119310
PMCPMC11305507

What OpenQuestion holds

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Registered trials

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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.