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Costs and health care resource utilization (HCRU) for patients with advanced biliary tract (aBTC) cancer using administrative databases in Ontario, 2010 to 2020.

2023· article· en· W4379333898 on OpenAlexafffundabout
Soo Jin Seung, Hasnain Saherawala, Iqra Syed, Derek Clouthier, Cal Shephard, Eric Xueyu Chen

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsUniversity Health NetworkAstraZeneca (Canada)Sunnybrook Hospital
FundersAstraZeneca Canada
KeywordsMedicineGemcitabineGallbladder cancerPopulationCancerPharmacoeconomicsBiliary tract cancerEmergency medicineAmpulla of VaterIndirect costsActivity-based costingInternal medicineOncologyIntensive care medicineCarcinomaEnvironmental health

Abstract

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e16112 Background: Gemcitabine and cisplatin (gemcis) has been the standard of care for biliary tract cancer (BTC) for over a decade. One US model predicted the total lifetime cost of gemcis per patient to be $54,077 in 2020 CAD, although not all costs were considered. Our study objectives included quantifying updated costs and health care resource utilization (HCRU) associated with advanced BTC using real-world, population-level data from Ontario databases. Methods: We conducted a retrospective population-level study of patients diagnosed with recurrent or unresectable/advanced BTC (gallbladder cancer [GBC], intrahepatic and extrahepatic cholangiocarcinoma [IHC and EHC], Ampulla of Vater [AoV]) between January 1, 2010 and December 31, 2019. Follow-up data were available until December 31, 2020. HCRU and costs were calculated from the start date of first line (1L) of BTC-specific systemic therapies to death or the end of March 31, 2020 whichever occurred first. A macro-based costing methodology (GETCOST) was used and the mean cost per patient was reported in 2020 Canadian dollars (CAD). Mean cost per patient was calculated from diagnosis till the end of follow-up or death. The total number of HCRU-specific encounters for all years was divided by the number of BTC patients who used that HRCU in order to report the mean number of HCRU encounters (e.g., cancer clinic visits and inpatient hospitalizations). Results: Of 2,142 advanced BTC patients identified, 1,968 were diagnosed with non-AoV cancers (GBC, IHC, EHC or general BTC not otherwise specified) and 174 patients were diagnosed with AoV cancer. The mean cost per patient for all 1L-treated patients was $36,662 ($36,378 for non-AoV compared to $40,092 for AoV patients). By 1L-specific therapies, the highest mean cost per patient was for patients on gemcitabine and taxane combinations (gemtaxane) at $44,190, followed by gemcitabine and cisplatin (gemcis) at $34,507, then FOLFOX or FOLFIRI (fol) at $39,002 and carboplatin and gemcitabine (gemcarb) at $30,905. Untreated patients had a mean cost per patient of $42,136. The mean number of cancer clinic visits per patient per year during 1L ranged from 9.7 (untreated) to 13.7 (gemcis), while the inpatient hospitalizations per patient per year during 1L ranged from and 1.5 (gemcarb, fol and gemtaxane) to 2.4 (untreated). Conclusions: This study reports Canadian-specific, real-world costs and HCRU results of over 2,000 BTC patients. While cost results were stratified by type of BTC (AOV and non-AOV) and type of 1L therapies, the mean cost per patient ranged from $30,905 CAD to $44,190 CAD and HCRU results indicated substantial mean number of cancer clinic visits and inpatient hospitalizations. Thus, BTC patients incur a significant economic burden to the patients and Ontario public payer health system.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.027
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.010
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.346
GPT teacher head0.534
Teacher spread0.188 · 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
Published2023
Admission routes3
Has abstractyes

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