Evidence map›Paper›PMID 40445230›Full record

ArticleAdvances in therapy2025

The Potential Impact of Sotatercept on Long-Term Disability in Commercially Insured Patients with Pulmonary Arterial Hypertension in the United States: An Exercise in Actuarial Modeling.

Anna Watzker, Adnan Alsumali, Christine Ferro, Xun Jun Li, Gabriela Dieguez, Clare Park, Jestinah Chevure, Dominik Lautsch, Karim El-Kersh

Abstract read
In one paragraph

Article in Advances in therapy, 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

9 authors.

Anna WatzkerMerck & Co., Inc., Rahway, NJ, USA. anna.watzker@merck.com.ORCID http://orcid.org/0009-0003-8897-9339
Adnan AlsumaliMerck & Co., Inc., Rahway, NJ, USA.
Christine FerroMilliman, Inc., New York, NY, USA.
Xun Jun LiMerck & Co., Inc., Rahway, NJ, USA.
Gabriela DieguezMilliman, Inc., New York, NY, USA.
Clare ParkMilliman, Inc., New York, NY, USA.
Jestinah ChevureMSD (UK) Limited, London, UK.
Dominik LautschMerck & Co., Inc., Rahway, NJ, USA.
Karim El-KershUniversity of Arizona College of Medicine, Phoenix, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) is a progressive disease commonly leading to functional impairment that can impact the ability to work. In the US, disabled workers often qualify for employer-sponsored long-term disability (LTD) benefits and Social Security Disability Insurance (SSDI). We used actuarial techniques to model scenarios of disability costs associated with PAH, with and without treatment with sotatercept, a first-in-class therapy that slowed PAH disease progression in clinical trials. Annual disability costs were measured as the net present value of lifetime benefits per claimant with PAH and multiplied by the number of new disability insurance claimants with PAH nationwide each year. We estimated that sotatercept therapy would result in disability benefit costs savings in the US ranging from $86.9 to $245.5 million per year or 32-90% of current costs for LTD and SSDI benefits associated with PAH. Our findings suggest that therapies that potentially prevent disability and enable disabled patients to return to work can help reduce disability costs.

Indexed as

Hypertension, PulmonaryInsurance, DisabilityPersons with DisabilitiesAdultCost-Benefit AnalysisFemaleHumansMaleMiddle AgedPulmonary Arterial HypertensionUnited StatesBurden of illnessDisabilityPulmonary arterial hypertensionSotaterceptSTELLAR

Identifiers

PMID40445230
PMCPMC12313791

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.