Evidence map›Paper›PMID 38919081›Full record

ReviewCurrent pharmaceutical biotechnology2025

Monoclonal Antibodies: Current Advancements and Future Potential for Atopic Dermatitis Therapy.

Pravin Kumar, Mahendra Singh Ashawat, Ajay Kumar, Anchal Guleria, Akshay Thakur

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pharmaceutical biotechnology, 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

5 authors.

Pravin KumarDepartment of Pharmaceutics, Laureate Institute of Pharmacy, Kathog, H.P, 176031, India.ORCID 0000-0001-9853-4489
Mahendra Singh AshawatDepartment of Pharmaceutics, Laureate Institute of Pharmacy, Kathog, H.P, 176031, India.ORCID 0000-0001-7188-426X
Ajay KumarDepartment of Pharmaceutics, Laureate Institute of Pharmacy, Kathog, H.P, 176031, India.ORCID 0000-0002-1631-101X
Anchal GuleriaDepartment of Pharmaceutics, Laureate Institute of Pharmacy, Kathog, H.P, 176031, India.ORCID 0009-0009-1230-1971
Akshay ThakurDepartment of Pharmaceutics, Laureate Institute of Pharmacy, Kathog, H.P, 176031, India.ORCID 0009-0009-5972-4787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtopic Dermatitis (AD) is an inflammatory skin condition with a severe itch. The topical therapy using corticosteroids is not sufficient for the effective therapy of moderate to severe cases of AD. The investigation and development of immunological targetspecific human monoclonal antibodies have changed the paradigm for the therapy of moderate to severe cases of AD.

objectiveThe establishment of target-specific, tolerable, and efficacious human monoclonal antibodies might lead to the better management of moderate to severe cases of AD. METHODOLOGY: The scientific literature available in databases, such as Pubmed and Clinicaltrial. gov, was searched and discussed for available clinical therapeutic information. DISCUSSION: The present review has discussed the potential immunological targets of specific monoclonal antibodies developed and approved or which are under investigation in clinical trials.

conclusionThe development of targeted monoclonal antibodies can improve the understanding of the role of different immunological pathways and biomarkers in AD and become the future of AD treatment.

Indexed as

Antibodies, MonoclonalDermatitis, AtopicAnimalsHumansAntibodies, MonoclonalAtopic dermatitisbiologicalsbiomarkers.interleukinsjanus kinasesmonoclonal antibodies

Identifiers

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.