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Record W4281551601 · doi:10.1001/jamasurg.2022.1554

Self-selection vs Randomized Assignment of Treatment for Appendicitis

2022· article· en· W4281551601 on OpenAlexaff
Charles S. Parsons, Nathan I. Shapiro, Randall Cooper, Aleksandr Tichter, Ross J. Fleischman, Erin C. Howell, Dennis Kim, Brant Putnam, Lara H. Spence, Hikmatullah Arif, Farhood Farjah, Laura Hennessey, Kelsey Pullar, Erika M. Wolff, Lillian Adrianna Hayes, Alyssa Hayward, Joe H. Patton, Vance Y. Sohn, Debra Burris, Damien Carter, Bruce Chung, Terilee Gerry, Joseph Mack, David MacKenzie, Hasan B. Alam, Nathan Haas, Cindy Hsu, Norman Olbrich, Pauline Park, Krishnan Raghavendran, Robert S. Bennion, Formosa Chen, Debbie Mireles, Gregory J. Moran, Kavitha Pathmarajah, Darin J. Saltzman, Lisandra Uribe, Paul J. Schmit, Bruce Wolfe, Kimberly Deeney, Mary Guiden, Miriam Hernandez, Elliott Skopin, Heather VanDusen, Meridith Weiss, Careen Foster, Shaina Schaetzel, Brandon Tudor, Arden M. Morris, Ryan Martinez, Dayna Morgan, John Tschirhart, Julie A. Wallick, Sean Wells, Amy P. Rushing, Steven Steinberg, Mohamad Abouzeid, William Chiang, Jason Maggi, Marcovalerio Melis, Kristyn Pierce, Paresh Shah, Prashant Sinha, Brett Faine, Cathy Fairfield, Dionne A. Skeete, Deepti Patki, Rebekah K. Peacock, Donald M. Yealy, Karla Bernardi, Naila Dhanani, Tien C. Ko, Debbie F. Lew, Stephanie Marquez, Oscar Olavarria, Karen Horvath, Daniel Kim, Zoe Parr, Estel Williams, Karen F. Miller, Kelly M. Moser, Scott Osborn, Abigail Wiebusch, Julianna Yu, Karla V. Ballman, Sunday Clark, Billie Johnsson, Lauren Mount, Thomas Diflo, Kathleen O’Connor, Olga Owens, Giana H. Davidson, Sarah E. Monsell, Heather L. Evans, Emily C. Voldal, Erin Fannon, Sarah O. Lawrence, Anusha Krishnadasan, David A. Talan, Bonnie Bizzell, Patrick J. Heagerty, Bryan A. Comstock, Danielle C. Lavallee, Cassandra M. Villegas, Robert J. Winchell, Callie M Thompson, Wesley H. Self, Lillian S. Kao, Shah-Jahan M. Dodwad, Amber K. Sabbatini, David J. Droullard, David Machado-Aranda, Melinda M. Gibbons, Amy H. Kaji, Daniel A. DeUgarte, Lisa Ferrigno, Matthew Salzberg, Katherine Mandell, Nicole Siparsky, Thea P. Price, A Raman, Joshua Corsa, Jon Wisler, Patricia Ayoung-Chee, Jesse Victory, Alan E. Jones, Matthew Kutcher, Karen McGrane, Julie L. Holihan, Mike K. Liang, Joseph Cuschieri, Jeffrey Johnson, Katherine Fischkoff, Frederick Thurston Drake, Sabrina E. Sanchez, Stephen R. Odom, Larry G. Kessler, David R. Flum

Bibliographic record

VenueJAMA Surgery · 2022
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsBritish Columbia Academic Health Science Network
FundersNational Center for Advancing Translational Sciences
KeywordsMedicineRandomized controlled trialCohortCohort studyRandomizationAppendicitisClinical trialInternal medicinePhysical therapySurgery

Abstract

fetched live from OpenAlex

Importance: For adults with appendicitis, several randomized clinical trials have demonstrated that antibiotics are an effective alternative to appendectomy. However, it remains unknown how the characteristics of patients in such trials compare with those of patients who select their treatment and whether outcomes differ. Objective: To compare participants in the Comparison of Outcomes of Antibiotic Drugs and Appendectomy (CODA) randomized clinical trial (RCT) with a parallel cohort study of participants who declined randomization and self-selected treatment. Design, Setting, and Participants: The CODA trial was conducted in 25 US medical centers. Participants were enrolled between May 3, 2016, and February 5, 2020; all participants were eligible for at least 1 year of follow-up, with all follow-up ending in 2021. The randomized cohort included 1094 adults with appendicitis; the self-selection cohort included patients who declined participation in the randomized group, of whom 253 selected appendectomy and 257 selected antibiotics. In this secondary analysis, characteristics and outcomes in both self-selection and randomized cohorts are described with an exploratory analysis of cohort status and receipt of appendectomy. Interventions: Appendectomy vs antibiotics. Main Outcomes and Measures: Characteristics among participants randomized to either appendectomy or antibiotics were compared with those of participants who selected their own treatment. Results: Clinical characteristics were similar across the self-selection cohort (510 patients; mean age, 35.8 years [95% CI, 34.5-37.1]; 218 female [43%; 95% CI, 39%-47%]) and the randomized group (1094 patients; mean age, 38.2 years [95% CI, 37.4-39.0]; 386 female [35%; 95% CI, 33%-38%]). Compared with the randomized group, those in the self-selection cohort were less often Spanish speaking (n = 99 [19%; 95% CI, 16%-23%] vs n = 336 [31%; 95% CI, 28%-34%]), reported more formal education (some college or more, n = 355 [72%; 95% CI, 68%-76%] vs n = 674 [63%; 95% CI, 60%-65%]), and more often had commercial insurance (n = 259 [53%; 95% CI, 48%-57%] vs n = 486 [45%; 95% CI, 42%-48%]). Most outcomes were similar between the self-selection and randomized cohorts. The number of patients undergoing appendectomy by 30 days was 38 (15.3%; 95% CI, 10.7%-19.7%) among those selecting antibiotics and 155 (19.2%; 95% CI, 15.9%-22.5%) in those who were randomized to antibiotics (difference, 3.9%; 95% CI, -1.7% to 9.5%). Differences in the rate of appendectomy were primarily observed in the non-appendicolith subgroup. Conclusions and Relevance: This secondary analysis of the CODA RCT found substantially similar outcomes across the randomized and self-selection cohorts, suggesting that the randomized trial results are generalizable to the community at large. Trial Registration: ClinicalTrials.gov Identifier: NCT02800785.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.271
Teacher spread0.247 · 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 teacher head, not a consensus.

Study designNot applicable
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".

Quick stats

Citations30
Published2022
Admission routes1
Has abstractyes

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