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Record W4293809662 · doi:10.1097/dcr.0000000000002488

Outcomes of Patients Undergoing Elective Bowel Resection Before and After Implementation of an Anemia Screening and Treatment Program

2022· article· en· W4293809662 on OpenAlexaff
Richard W. D. Gilbert, Terry Zwiep, Joshua Greenberg, Tori Lenet, Donna Touchie, Iris Perelman, Reilly Musselman, Lara Williams, Isabelle Raîche, Daniel I. McIsaac, Kednapa Thavorn, Dean Fergusson, Husein Moloo

Bibliographic record

VenueDiseases of the Colon & Rectum · 2022
Typearticle
Languageen
FieldMedicine
TopicErythropoietin and Anemia Treatment
Canadian institutionsOttawa HospitalWestern UniversityUniversity of Ottawa
Fundersnot available
KeywordsMedicineCohortAnemiaColorectal surgeryCohort studyColorectal cancerProspective cohort studyElective surgerySurgeryInternal medicineCancerAbdominal surgery

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with anemia undergoing elective colorectal cancer surgery are known to have significantly higher rates of postoperative complications and worse outcomes. OBJECTIVE: This study aimed to improve rates of anemia screening and treatment in patients undergoing elective colon and rectal resections through a quality improvement initiative. DESIGN: We compared a historical cohort of patients before implementation of our anemia screening and treatment quality improvement program to a prospective cohort after implementation. SETTINGS: This study was conducted at a tertiary care hospital. PATIENTS: This study included all adult patients with a new diagnosis of colon or rectal cancer without evidence of metastatic disease between 2017 and 2019. INTERVENTIONS: The interventions include the anemia screening and treatment quality improvement program. MAIN OUTCOME MEASURES: The primary outcome was hospital cost per admission. RESULTS: This study includes a total of 84 patients who underwent elective colon or rectal resection before implementation of our anemia quality improvement project and 88 patients who underwent surgery after. In the preimplementation cohort 44 of 84 patients (55.9%) were anemic compared to 47 of 99 patients (54.7%) in the postimplementation cohort. Rates of screening (25%-86.4%) and treatment (27.8%- 63.8%) were significantly increased in the postimplementation cohort. Mean total cost per admission was significantly decreased in the postimplementation cohort (mean cost $16,827 vs $25,796; p = 0.004); this significant reduction was observed even after adjusting for relevant confounding factors (ratio of means: 0.74; 95% CI, 0.65-0.85). The mechanistic link between treatment of anemia and reductions in cost remains unknown. No significant difference was found in rates of blood transfusion, complications, or mortality between the groups. LIMITATIONS: The study limitation includes before-after design subjected to selection and temporal biases. CONCLUSIONS: We demonstrate the successful implementation of an anemia screening and treatment program. This program was associated with significantly reduced cost per admission. This work demonstrates possible value and benefits of implementation of an anemia screening and treatment program. See Video Abstract at http://links.lww.com/DCR/C15 .RESULTADOS DE LOS PACIENTES SOMETIDOS A RESECCIÓN INTESTINAL ELECTIVA ANTES Y DESPUÉS DE LA IMPLEMENTACIÓN DE UN PROGRAMA DE DETECCIÓN Y TRATAMIENTO DE ANEMIA. ANTECEDENTES: Se sabe que los pacientes anémicos que se someten a una cirugía electiva de cáncer colorrectal tienen tasas significativamente más altas de complicaciones posoperatorias y peores resultados. OBJETIVO: Mejorar las tasas de detección y tratamiento de la anemia en pacientes sometidos a resecciones electivas de colon y recto a través de una iniciativa de mejora de calidad. DISEO: Comparamos una cohorte histórica de pacientes antes de la implementación de nuestro programa de detección de anemia y mejora de la calidad del tratamiento con una cohorte prospectiva después de la implementación. ENTORNO CLINICO: Hospital de atención terciaria. PACIENTES: Todos los pacientes adultos con un nuevo diagnóstico de cáncer de colon o recto sin evidencia de enfermedad metastásica entre 2017 y 2019. INTERVENCIONES: Detección de anemia y programa de mejora de la calidad del tratamiento. PRINCIPALES MEDIDAS DE RESULTADO: El resultado primario fue el costo hospitalario por ingreso. RESULTADOS: Un total de 84 pacientes se sometieron a resección electiva de colon o recto antes de la implementación de nuestro proyecto de mejora de calidad de la anemia y 88 pacientes se sometieron a cirugía después. En la cohorte previa a la implementación, 44/84 (55,9 %) presentaban anemia en comparación con 47/99 (54,7 %) en la cohorte posterior a la implementación. Las tasas de detección (25 % a 86,4 %) y tratamiento (27,8 % a 63,8 %) aumentaron significativamente en la cohorte posterior a la implementación. El costo total medio por admisión se redujo significativamente en la cohorte posterior a la implementación (costo medio $16 827 vs. $25 796, p = 0,004); esta reducción significativa se observó incluso después de ajustar los factores de confusión relevantes (proporción de medias: 0,74, IC del 95 %: 0,65 a 0,85). El vínculo mecánico entre el tratamiento de la anemia y la reducción de costos sigue siendo desconocido. No hubo diferencias significativas en las tasas de transfusión de sangre, complicaciones o mortalidad entre los grupos. LIMITACIONES: El diseño de antes y después está sujeto a sesgos temporales y de selección. CONCLUSIONES: Demostramos la implementación exitosa de un programa de detección y tratamiento de anemia. Este programa se asoció con un costo por admisión significativamente reducido. Este trabajo demuestra el valor y los beneficios posibles de la implementación de un programa de detección y tratamiento de la anemia. Consulte Video Resumen en http://links.lww.com/DCR/C15 . (Traducción- Dr. Francisco M. Abarca-Rendon ).

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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.009
GPT teacher head0.300
Teacher spread0.291 · 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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Citations4
Published2022
Admission routes1
Has abstractyes

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