Evidence map›Paper›PMID 40909165›Full record

ReviewFrontiers in allergy2025

Advances of bispecific antibodies using/application in dermatology: a review.

Ting Zhang, Yang Liu, Pei Xiong Liew, Yu Zhang, Zuotao Zhao

Abstract readReview
In one paragraph

Review in Frontiers in allergy, 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
–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

1 citing paper in PubMed.

  1. Atopic Dermatitis: New Targets and Emerging Systemic Therapies.American journal of clinical dermatology · 2026
    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

5 authors.

Ting Zhang *Department of Dermatology, Tianjin Institute of Integrative Dermatology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China.
Yang Liu *Graduate School of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Pei Xiong LiewImmunology Center of Georgia, Department of Cellular Biology and Anatomy, Augusta University, Augusta, GA, United States.
Yu ZhangDepartment of Dermatology, Tianjin Institute of Integrative Dermatology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China.
Zuotao ZhaoDepartment of Dermatology, Tianjin Institute of Integrative Dermatology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bispecific antibodies represent an important innovation in the field of biomedicine in recent years. Compared to monoclonal antibodies, their specific structure enables a single antibody molecule to bind to two different antigens simultaneously. This characteristic endows bispecific antibodies with more functions, regulating multiple signal pathways simultaneously, enhancing the therapeutic effect, and by infusion of targeted tumor antigens and drug carriers in advance, the contact time between the drug and normal tissues is reduced, and the toxic side effects are greatly reduced. They have shown promising application prospects, especially in dermatology and other fields. This article reviews the basic concepts of bispecific antibodies and their potential application in the treatment of skin diseases, including inflammatory skin diseases, skin tumors, and infectious skin diseases. The aim is to explore the current application status and future development directions of bispecific antibodies in dermatology, so as to provide references for related research and clinical practice.

Indexed as

bispecific antibodiesdermatologyinflammatory skin diseasesskin infectionsskin tumors

Identifiers

PMID40909165
PMCPMC12404918

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.