Evidence map›Paper›PMID 40881207›Full record

ReviewWorld journal of methodology2025

Sotatercept: A novel therapeutic approach for pulmonary arterial hypertension through transforming growth factor-β signaling modulation.

Jyoti Bajpai, Mehul Saxena, Akshyaya Pradhan, Surya Kant

Abstract readReview
In one paragraph

Review in World journal of methodology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jyoti BajpaiDepartment of Respiratory Medicine, King George's Medical University, Lucknow 226003, Uttar Pradesh, India. jyotibajpai33@gmail.com.
Mehul SaxenaGandhi Memorial Hospital, King George's Medical University, Lucknow 226003, Uttar Pradesh, India.
Akshyaya PradhanDepartment of Cardiology, King George's Medical University, Lucknow 226003, Uttar Pradesh, India.
Surya KantDepartment of Respiratory Medicine, King George's Medical University, Lucknow 226003, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) is a progressive disease marked by degeneration of the lung's blood vessels. As the disease progresses, the resistance to blood flow in the pulmonary arteries increases, putting a strain on the right side of the heart as it pumps blood through the lungs. PAH is characterized by changes in the structure of blood vessels and excessive cell growth. Untreated PAH leads to irreversible right-sided heart failure, often despite medical intervention. Patients experience a gradual decline in function until they are unable to perform daily activities. Advances in treatment have improved the prognosis for many PAH patients. Currently approved therapies target the prostacyclin, endothelin, nitric oxide, or phosphodiesterase pathways to slow the progression of the disease. To address the unmet need for effective PAH therapies, research efforts are focused on identifying new targets and developing therapies that specifically address the underlying disease mechanisms and restore vascular wall homeostasis. Among these, sotatercept, a fusion protein that targets the transforming growth factor-β superfamily signaling pathway, has emerged as a promising therapeutic option. In this review, we examine the available evidence from clinical trials to assess the potential of sotatercept as a treatment for PAH.

Indexed as

DrugsMean pulmonary artery pressureProteinPulmonary arteryTransforming growth factor-β pathway

Identifiers

PMID40881207
PMCPMC11948201

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.