Healthcare Resource Utilization and Costs Among Patients With Gastroesophageal Reflux Disease, Barrett’s Esophagus, and Barrett’s Esophagus-Related Neoplasia in the United States
Bibliographic record
Abstract
Background Gastroesophageal reflux disease (GERD) is a risk factor for Barrett’s esophagus (BE) and BE-related neoplasia (BERN). Objectives This study aimed to evaluate healthcare resource utilization (HRU) and costs associated with GERD, BE, and BERN in the United States. Methods Adult patients with GERD, nondysplastic BE (NDBE), and BERN (including indefinite for dysplasia [IND], low-grade dysplasia [LGD], high-grade dysplasia [HGD] or esophageal adenocarcinoma [EAC]), were identified from a large US administrative claims database, the IBM Truven Health MarketScan® databases (Q1/2015-Q4/2019). Patients were categorized into the corresponding mutually exclusive EAC-risk/diagnosis cohorts based on the most advanced stage from GERD to EAC using diagnosis codes in medical claims. Disease-related HRU and costs (2020 USD) were calculated for each cohort. Results Patients were categorized into the following EAC-risk/diagnosis cohorts: 3 310 385 into GERD, 172 481 into NDBE, 11 516 into IND, 4332 into LGD, 1549 into HGD, and 11 676 into EAC. Disease-related annual mean number of inpatient admissions, office visits, and emergency department visits by cohort were 0.09, 1.45, and 0.19 for GERD; 0.08, 1.55, and 0.10 for NDBE; 0.10, 1.92, and 0.13 for IND; 0.09, 2.05, and 0.10 for LGD; 0.12, 2.16, and 0.14 for HGD; and 1.43, 6.27, and 0.87 for EAC. Disease-related annual mean total healthcare costs by cohort were $6955 for GERD, $8755 for NDBE, $9675 for IND, $12 241 for LGD, $24 239 for HGD, and $146 319 for EAC. Discussion Patients with GERD, BE, and BERN had important HRU and costs, including inpatient admissions and office visits. As patients progressed to more advanced stages, there was substantially higher disease-related resource utilization, with associated costs being 16 times higher in patients with EAC than those with NDBE. Conclusions Findings suggest the need for early identification of high-risk individuals prior to progression to EAC to potentially improve clinical and economic outcomes in this population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".