Evidence map›Paper›PMID 38500289›Full record

ReviewCurrent drug discovery technologies2025

A Snapshot of Biomarkers in Psoriasis.

Krushna Abhale, Addepalli Veeranjaneyulu, Shivani Desai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug discovery technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

3 authors at 3 institutions in 1 country.

Krushna AbhaleDepartment of Pharmacology, Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Pimpri, Pune, India.
Addepalli VeeranjaneyuluDepartment of Pharmacology, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune, India.
Shivani DesaiClinical Research and Pharmacovigilance, Serum Institute of India Pvt. Ltd., Hadapsar, Pune, India.
Dr. D. Y. Patil Medical College, Hospital and Research Centre · INDr. D.Y. Patil Vidyapeeth, Pune · INSerum Institute of India (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A persistent long-standing, inflammatory skin condition that is brought on by a variety of factors is psoriasis. It is distinguished by itchy, scaly, reddish plaques, particularly on areas of the body that are frequently chafed, including the extensor sites of the limbs. Recent developments in molecular-targeted therapy that use biologics or small-molecule inhibitors can effectively cure even the worst psoriatic indications. The outstanding clinical outcomes of treatment help to clarify the disease's detrimental consequences on quality of life. Biomarkers that identify deep remission are essential for developing uniform treatment plans. Blood protein markers such as AMPs that are consistently quantifiable can be very helpful in routine clinical practice. The metabolic pathways involve biomarkers that can not only help diagnose psoriasis in a clinical setting but also indicate its severity based on the levels present in the body. Machine learning and AI have made a diagnosis of the expression of genes as biomarkers more accessible. In this article, biomarkers, as well as their key role in psoriasis, are discussed.

Indexed as

BiomarkersPsoriasisHumansMachine LearningMolecular Targeted TherapyBiomarkersbiomarkersblood protein.Inflammatory skin diseasemachine learningmetabolic pathwayspsoriasis

Identifiers

PMID38500289
OpenAlexW4392966308

What OpenQuestion holds

Textmetadata
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.