Evidence map›Paper›PMID 39471269›Full record

ArticleJournal of managed care & specialty pharmacy2024

Health care resource utilization and costs across stages of amyotrophic lateral sclerosis in the United States.

Katie Stenson, Sheena Chew, Shaobin Dong, Kim Heithoff, Min-Jung Wang, Jeffrey Rosenfeld

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2024. 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. Article
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

6 authors.

Katie StensonBiogen, Cambridge, MA.
Sheena ChewBiogen, Cambridge, MA.
Shaobin DongBiogen, Cambridge, MA.
Kim HeithoffBiogen, Cambridge, MA.
Min-Jung WangBiogen, Cambridge, MA.
Jeffrey RosenfeldLoma Linda University School of Medicine, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople living with ALS (plwALS) experience motor control loss, speech/swallowing difficulties, respiratory insufficiency, and early death. Advancing disease stage is typically associated with a greater burden on the health care system, and delays in diagnosis can result in substantial health care resource utilization (HCRU).

objectiveTo estimate HCRU and cost burden of plwALS across disease stages from a US payer perspective we assessed HCRU and costs in early-, mid-, and late-stage ALS.

methodsUsing insurance claims data from the IBM MarketScan Databases between January 2013 and December 2019, we identified plwALS as having at least 2 claims at least 27 days apart with an ALS

results2,273 plwALS were included in the total ALS study sample, with 1,215 early-stage, 1,511 midstage, and 1,186 late-stage plwALS. 90% of early-stage plwALS had ALS symptoms before diagnosis, and 27% of late-stage plwALS had a late-stage symptom before diagnosis. In the evaluation period, later-stage ALS groups had more overall hospital admissions (early = 0.15, middle = 0.23, and late = 0.74;

conclusionsHCRU and costs increased with ALS progression, with diagnosis frequently occurring even after experiencing late-stage symptoms. These findings highlight the potential value of delaying progression into a more resource-intensive stage by diagnosing and adequately treating plwALS earlier in the disease course.

Indexed as

Amyotrophic Lateral SclerosisHealth Care CostsPatient Acceptance of Health CareAdultAgedCost of IllnessDatabases, FactualDisease ProgressionFemaleHealth ResourcesHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexUnited States

Identifiers

PMID39471269
PMCPMC11522455

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.