Evidence map›Paper›PMID 38264184›Full record

ReviewFrontiers in reproductive health2023

Innovations in monoclonal antibody-based multipurpose prevention technology (MPT) for the prevention of sexually transmitted infections and unintended pregnancy.

Sarah Dohadwala, Matthew T Geib, Joseph A Politch, Deborah J Anderson

Abstract readReview
In one paragraph

Review in Frontiers in reproductive health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. HIV-1 testing in the context of expanding PrEP modalities.Journal of the International AIDS Society · 2025
    Article
  2. Article
  3. 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

4 authors.

Sarah DohadwalaDepartment of Virology, Immunology and Microbiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Matthew T GeibDepartment of Material Science and Engineering, Boston University, Boston, MA, United States.
Joseph A PolitchDepartment of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Deborah J AndersonDepartment of Virology, Immunology and Microbiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.

Funding

Project 3: Film Formulation, PK/PD and Safety Studies of ZB-06P50HD096957 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ANDERSON, DEBORAH J · 2019 to 2025
$12.9M
NICHD NIH HHS P50 HD096957
6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) are currently being produced for a number of clinical applications including contraception and the prevention of sexually transmitted infections (STIs). Combinations of contraceptive and anti-STI mAbs, including antibodies against HIV-1 and HSV-2, provide a powerful and flexible approach for highly potent and specific multipurpose prevention technology (MPT) products with desirable efficacy, safety and pharmacokinetic profiles. MAbs can be administered systemically by injection, or mucosally via topical products (e.g., films, gels, rings) which can be tailored for vaginal, penile or rectal administration to address the needs of different populations. The MPT field has faced challenges with safety, efficacy, production and cost. Here, we review the state-of-the-art of mAb MPTs that tackle these challenges with innovative strategies in mAb engineering, manufacturing, and delivery that could usher in a new generation of safe, efficacious, cost-effective, and scalable mAb MPTs.

Indexed as

contraceptionHIVmonoclonal antibodiesmultipurpose prevention technologySTI

Identifiers

PMID38264184
PMCPMC10803587

What OpenQuestion holds

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LicenceCC BY
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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.