Evidence map›Paper›PMID 40916472›Full record

ArticleNeurodegenerative disease management2026

Diagnostic symptoms, treatment patterns, and healthcare resource utilization in multiple system atrophy in the United States.

Sigal Kaplan, Handing Xie, Amit Kumar

Abstract read
In one paragraph

Article in Neurodegenerative disease management, 2026. 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

3 authors.

Sigal KaplanTeva Pharmaceutical Industries Ltd, Netanya, Israel.ORCID 0000-0002-3352-8480
Handing XieRWE Statistics, Teva Branded Pharmaceutical Products R&D, Inc, West Chester, PA, USA.
Amit KumarRWE Statistics, KMK Consulting, Inc, North Tower, Morristown, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple system atrophy (MSA) is a progressive neurodegenerative disorder with diverse symptoms that complicate diagnosis. We aimed to characterize MSA-related symptoms, medications, and healthcare resource utilization (HCRU). RESEARCH DESIGN AND

methodsThis retrospective cohort study used a large US claims database. Newly diagnosed patients >30 years old with ≥2 MSA diagnosis (2017 - 2021) were matched to controls. Endpoints related to MSA symptoms, prescriptions, and HCRU were compared between the two groups during the first year after diagnosis. Conditional logistic regression models examined the association between each outcome and MSA.

resultsA total of 1187 MSA patients and 4748 matched-controls were compared. MSA patients had significantly higher rates of various symptoms, respectively (OR and 95% CI): orthostatic hypotension (38.7% and 0.8%; 89.6, 57.3 - 140.2); memory disorders (22.4% and 3.6%; 9.2, 7.3 - 11.6); motor symptoms (78.1% and 33.1%; 7.5, 6.4 - 8.7); falls (11.1% and 2.2%; 6.4, 4.8 - 8.5); fatigue (46.6% and 13.6%; 5.8, 5.0 - 6.7); mood disorder (62.3% and 24.2%; 5.5, 4.8 - 6.4); and urinary dysfunction (30.8% and 9.1%; 4.9, 4.1 - 5.8), among other. They also received more medications for these conditions and had higher rates of hospitalizations and other HCRU.

conclusionsThis real-world study of MSA-related symptoms, treatments, and HCRU demonstrates the significant disease burden associated with MSA.

Indexed as

Health ResourcesMultiple System AtrophyPatient Acceptance of Health CareAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesUnited Statesdiagnostic symptomsdisease burdenhealth resource utilizationMultiple system atrophyreal world evidencetreatment

Identifiers

PMID40916472
PMCPMC13011585

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.