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S1361 Healthcare Resource Use and Associated Costs in the Three Years Following the Initial Diagnosis of Diabetic or Idiopathic Gastroparesis: A Retrospective Claims Analysis

2020· article· en· W3094390958 on OpenAlexaff
Yaozhu J. Chen, Wenxi Tang, Raluca Ionescu‐Ittu, Rajeev Ayyagari, Eric Q. Wu, Susanna Y. Huh, Henry P. Parkman

Bibliographic record

VenueThe American Journal of Gastroenterology · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsMedicineGastroparesisComorbidityCharlson comorbidity indexPropensity score matchingInternal medicineDiabetes mellitusDiseaseGastric emptying

Abstract

fetched live from OpenAlex

INTRODUCTION: Diabetic gastroparesis (DG) and idiopathic gastroparesis (IG) are the two most common forms of gastroparesis (GP). Because of the limited treatment options, many patients (pts) have inadequate symptom control which may lead to increased healthcare resource use (HRU). This study aimed to quantify the economic burden in HRU and associated costs of DG/IG in the United States over the 3 years (yrs) after first GP diagnosis (dx). METHODS: Adults newly diagnosed with DG or IG were identified in Optum’s de-identified Clinformatics® Data Mart Database (Q1-2007 to Q1-2019). Pts were continuously enrolled for ≥1 yr before and ≥1 yr after their first GP dx (index date). For controls without GP dx, index dates were randomly selected. Pts with DG/IG were matched 1:1 to controls using a mixed approach of exact matching (i.e., age, sex, complete yrs of follow-up post-index) and propensity score matching (i.e., income, education, index yr, Charlson Comorbidity Index [CCI] comorbidities, diabetic complications [DG only]). All-cause HRU and direct healthcare costs per person-year (PPY) were compared between DG/IG cases and matched controls in the 3 yrs post index date. RESULTS: DG and IG cohorts included 18,015 and 14,305 pts (mean age: 62 and 54 yrs; 34% and 24% males), respectively. DG/IG pts had a high comorbidity burden at baseline (DG: 34% chronic pulmonary disease, 29% renal disease; IG: 28% chronic pulmonary disease). Demographics and CCI comorbidities were balanced between GP pts and controls (Table 1). DG/IG pts had significantly higher annual HRU compared to matched controls in the first 3 yrs post-index, with the highest gap observed in Yr 1 (Figure 1). Healthcare costs were also significantly higher for DG/IG pts vs. controls across all 3 yrs post-index (mean total cost differences PPY: DG Yr 1 $34,885, Yr 2 $28,071, Yr 3 $25,606; IG Yr 1 $23,176, Yr 2 $16,627, Yr 3 $14,396; see Figure 2 for Yr 1 cost breakdown by service setting). Patterns of disease burden did not change in a sensitivity analysis with additional adjustment for conditions associated with GP (e.g., anemia, anxiety disorder). CONCLUSION: This study showed a substantial economic burden of both DG and IG among adults, highest in the first yr after dx and persistent over 3 yrs. In the first yr after dx, DG and IG pts had healthcare costs approximately two-fold higher than for the matched controls, emphasizing the need for more effective treatments that may reduce the burden of illness.Table 1Figure 1Figure 2

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.272
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
Admission routes1
Has abstractyes

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