Evidence map›Paper›PMID 40624551›Full record

ArticleOrphanet journal of rare diseases2025

Characterizing healthcare resource utilization in two rare diseases (Kleefstra syndrome and SLC6A1 epileptic encephalopathy) using multimodal real-world data.

Caitlin A Nichols, Ella Nysetvold, Mike Jackson, Ainslie Tisdale, Christine M Cutillo, Shannon Rego, Ashley N Cogell, Nelson D Pace, Kristina Cotter

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Caitlin A Nichols *AllStripes Research, San Francisco, CA, USA.
Ella Nysetvold *AllStripes Research, San Francisco, CA, USA.
Mike JacksonAllStripes Research, San Francisco, CA, USA.
Ainslie TisdaleNational Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, MD, USA.
Christine M CutilloNational Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, MD, USA.
Shannon RegoAllStripes Research, San Francisco, CA, USA.
Ashley N CogellAllStripes Research, San Francisco, CA, USA.
Nelson D PaceAllStripes Research, San Francisco, CA, USA.
Kristina CotterAllStripes Research, San Francisco, CA, USA. kristina.cotter@picnichealth.com.ORCID http://orcid.org/0000-0002-5856-4197

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cumulative economic burden of rare diseases surpasses that of common conditions, yet patterns of healthcare resource utilization (HRU) across rare diseases remain poorly characterized. This study leverages multimodal data collected during clinical care and through surveys to provide an in-depth evaluation of HRU across the disease journey of individuals with rare genetic diseases. Individuals with a confirmed diagnosis of Kleefstra syndrome (KS; n = 40) or SLC6A1 epileptic encephalopathy (SLC6A1; n = 30) were recruited. Structured and unstructured data were abstracted from participants' medical records. Encounters per person-year of follow-up were calculated and compared pre- and post-diagnosis. Parents/guardians completed surveys assessing the impact of the participant's diagnosis on their care.

resultsRecords were available for a median of 6.4 years of follow-up from 268 unique healthcare facilities (median per patient = 4.5 facilities). Numbers of healthcare encounters were not significantly different 1 year pre- and post-diagnosis for either condition; however, the proportion of specialty encounters pre- and post-diagnosis varied significantly. Genetics encounters decreased for both conditions post-diagnosis. Cardiology, sleep medicine, and radiology encounters increased in KS post-diagnosis; conversely, audiology encounters decreased in KS post-diagnosis, and radiology encounters decreased in SLC6A1 post-diagnosis. Among specialty encounter types assessed, general practitioner (e.g. primary care, including pediatrics) encounters were the most common type for KS participants and the second-most common for SLC6A1 participants (after neurology encounters) both 1 year pre- and post-diagnosis. The number of both echocardiograms and electrocardiograms (ECG) significantly increased in KS 1 year post-diagnosis. 68% of survey respondents indicated that the participant's care changed post-diagnosis.

conclusionsThough there was no significant difference in the number of encounters pre- and post-diagnosis, significant changes in types of HRU suggest that diagnosis leads to more appropriate care and treatment. Advocacy organizations, researchers, drug developers, payors, and policymakers should consider the value of an early diagnosis to improve long-term outcomes and quality of life for patients and invest in measures that will shorten the time to diagnosis accordingly.

Indexed as

Craniofacial AbnormalitiesHeart Defects, CongenitalIntellectual DisabilityPlasma Membrane Neurotransmitter Transport ProteinsRare DiseasesAdolescentChildChild, PreschoolChromosome DeletionChromosomes, Human, Pair 9FemaleGABA Plasma Membrane Transport ProteinsHumansInfantMalePatient Acceptance of Health CareGABA Plasma Membrane Transport ProteinsPlasma Membrane Neurotransmitter Transport ProteinsSLC6A1 protein, humanDiagnosisHealthcare resource utilizationKleefstra syndromeObservational studyPatient registryPatient-reported outcomesReal-world dataReal-world evidenceSLC6A1 epileptic encephalopathySurvey

Identifiers

PMID40624551
PMCPMC12232648

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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.