Article in American journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
K BromanInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: kristybroman@uabmc.edu.
J RichmanInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA.
E RossInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA.
F ZengulDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, USA.
R Weech-MaldonadoDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, USA.
S BhatiaInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA.
Funding
Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
Towards a preventive cancer vaccine for children with constitutional mismatch repair deficiencyUG1CA189955 · NCI · PUBLIC HEALTH INSTITUTE · PI BRAD H POLLOCK, Michael E. Roth · 2014 to 2026
$62.5M
Transplant for Lymphoma:Therapy-Related LeukemiaP50CA107399 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI FORMAN, STEPHEN J, KWAK, LARRY W · 2004 to 2022
$35.5M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
UAB/Tuskegee Faculty Institutional Recruitment for Sustainable Transformation (UAB/TU FIRST) Partnership (NIH U54) Travel SupplementU54CA267746 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VICKERS, SELWYN M · 2021 to 2024
$12.7M
Research Education CoreP30AG031054 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DURANT, RAEGAN WINSTON · 2007 to 2025
$11.6M
BMT Survivor Study-2 (BMTSS-2)U01CA213140 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BHATIA, SMITA · 2019 to 2023
$6.8M
Mitigating Long-term Treatment-related Morbidity in Childhood Cancer SurvivorsR35CA220502 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BHATIA, SMITA · 2018 to 2024
$5.9M
DEEP SOUTH TRANSLATIONAL RESEARCH MENTORED CAREER DEVELOPMENT PROGRAMKL2TR003097 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2019 to 2023
$5.2M
Predictors of Systemic Exposure to Oral 6MP During Maintenance in Adolescentsand Young Adults with Acute Lymphoblastic LeukemiaR01CA248439 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Julie Anna Wolfson · 2021 to 2026
$3.4M
Primary Care Obesity Management in the Southeast_PROMISER01DK106041 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DUTTON, GARETH R · 2016 to 2020
$3.1M
Designing a Plan of Action for Better Access and Quality of Surgery for African-Americans with Gastrointestinal Cancers in the Deep SouthR01MD013858 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CHU, DANIEL I, PISU, MARIA · 2020 to 2024
backgroundHospital consolidation into health systems has mixed effects on surgical quality, potentially related to degree of surgical centralization at high-volume (hub) sites. We developed a novel measure of centralization and evaluated a hub and spoke framework.
methodsSurgical centralization within health systems was measured using hospital surgical volumes (American Hospital Association) and health system data (Agency for Healthcare Research and Quality). Hub and spoke hospitals were compared using mixed effects logistic regression and system characteristics associated with surgical centralization were identified using a linear model.
resultsWithin 382 health systems containing 3022 hospitals, system hubs perform 63% of cases (IQR 40-84%). Hubs are larger, in metropolitan and urban areas, and more often academically affiliated. Degree of surgical centralization varies ten-fold. Larger, multistate, and investor-owned systems are less centralized. Adjusting for these factors, there is less centralization among teaching systems (p < 0.001).
conclusionsA hub-spoke framework applies to most health systems but centralization varies significantly. Future studies of health system surgical care should assess the contributions of surgical centralization and teaching status on differential quality.
Indexed as
Delivery of Health CareHospitalsGovernment ProgramsHumansUnited StatesAdministrative data usesHealth care organizations and systemsIntegrated delivery systemsQuality of care/patient safetySurgery
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Hub and spoke framework for study of surgical centralization within United States health systems. · full record | OpenQuestion