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Record W2749509192 · doi:10.7326/m17-0859

Reanalysis of All-Cause Mortality in the U.S. Preventive Services Task Force 2016 Evidence Report on Colorectal Cancer Screening

2017· review· en· W2749509192 on OpenAlexaboutno aff
Andrew W. Swartz, Jan M. Eberth, Michele J. Josey, Scott M. Strayer

Bibliographic record

VenueAnnals of Internal Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsnot available
FundersNational Institute of General Medical Sciences
KeywordsMedicineTask forceColorectal cancerSouth carolinaSigmoidoscopyDemographyFamily medicineCancerGerontologyInternal medicineColonoscopy

Abstract

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Letters17 October 2017Reanalysis of All-Cause Mortality in the U.S. Preventive Services Task Force 2016 Evidence Report on Colorectal Cancer ScreeningAndrew W. Swartz, MD, Jan M. Eberth, PhD, Michele J. Josey, MS, and Scott M. Strayer, MDAndrew W. Swartz, MDFrom Yukon-Kuskokwim Delta Regional Hospital, Bethel, Alaska, and University of South Carolina, Columbia, South Carolina., Jan M. Eberth, PhDFrom Yukon-Kuskokwim Delta Regional Hospital, Bethel, Alaska, and University of South Carolina, Columbia, South Carolina., Michele J. Josey, MSFrom Yukon-Kuskokwim Delta Regional Hospital, Bethel, Alaska, and University of South Carolina, Columbia, South Carolina., and Scott M. Strayer, MDFrom Yukon-Kuskokwim Delta Regional Hospital, Bethel, Alaska, and University of South Carolina, Columbia, South Carolina.Author, Article, and Disclosure Informationhttps://doi.org/10.7326/M17-0859 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Background: The 2016 U.S. Preventive Services Task Force (USPSTF) evidence report on colorectal cancer screening concluded that no colorectal cancer screening methods reduce all-cause mortality. This conclusion was partially based on a meta-analysis of 4 randomized trials that compared flexible sigmoidoscopy screening with no screening. The meta-analysis aggregated results from the 2 age cohorts of 1 of the trials—the NORCCAP (Norwegian Colorectal Cancer Prevention) study—as if these cohorts were a single trial (1). Aggregation of outcomes that have markedly different event rates, screening–control ratios, or both can create a Simpson paradox, a phenomenon where a finding exists in individual data ...References1. Lin JS, Piper MA, Perdue LA, Rutter CM, Webber EM, O'Connor E, et al. Screening for colorectal cancer: updated evidence report and systematic review for the US Preventive Services Task Force. JAMA. 2016;315:2576-94. [PMID: 27305422] doi:10.1001/jama.2016.3332 CrossrefMedlineGoogle Scholar2. Julious SA, Mullee MA. Confounding and Simpson's paradox. BMJ. 1994;309:1480-1. [PMID: 7804052] CrossrefMedlineGoogle Scholar3. Bretthauer M, Gondal G, Larsen K, Carlsen E, Eide TJ, Grotmol T, et al. Design, organization and management of a controlled population screening study for detection of colorectal neoplasia: attendance rates in the NORCCAP study (Norwegian Colorectal Cancer Prevention). Scand J Gastroenterol. 2002;37:568-73. [PMID: 12059059] CrossrefMedlineGoogle Scholar4. Holme Ø, Loberg M, Kalager M. Colorectal cancer and the effect of flexible sigmoidoscopy screening—reply [Letter]. JAMA. 2014;312:2411-2. [PMID: 25490338] doi:10.1001/jama.2014.14695 CrossrefMedlineGoogle Scholar5. R Development Core Team.. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2010. Google Scholar Author, Article, and Disclosure InformationAffiliations: From Yukon-Kuskokwim Delta Regional Hospital, Bethel, Alaska, and University of South Carolina, Columbia, South Carolina.Disclaimer: No entity other than the authors had any input or role in the design, execution, composition, or decision to publish.Acknowledgment: The authors thank Olga Y. Gorlova, PhD (Geisel School of Medicine, Dartmouth University), and Gloria Ann Evans, FNP, DrPH (retired, Durham, North Carolina), for critical manuscript review and stylistic suggestions and Karen Matthias (Anchorage, Alaska) for stylistic suggestions.Financial Support: Dr. Eberth is supported in part by a Mentored Research Scholar Grant from the American Cancer Society (MRSG-15-148-01-CPHPS). Ms. Josey is supported in part by grant T32-GM081740 from the National Institutes of Health, National Institute of General Medical Sciences.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M17-0859.This article was published at Annals.org on 22 August 2017. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited byColorectal cancer screening at a younger age: pitfalls in the model-based recommendation of the USPSTFLong-Term Follow-up of the Italian Flexible Sigmoidoscopy Screening TrialCarlo Senore, MD, MSc, Emilia Riggi, PhD, Paola Armaroli, MD, MSc, Luigina Bonelli, MD, Stefania Sciallero, MD, MPhil, Marco Zappa, MD, Arrigo Arrigoni, MD, Claudia Casella, PhD, Cristiano Crosta, MD, Fabio Falcini, MD, Franco Ferrero, MD, Mario Fracchia, MD, Orietta Giuliani, PhD, Mauro Risio, MD, Antonio G. Russo, MD, MPH, Carmen Beatriz Visioli, MD, MSc, Stefano Rosso, MD, MSc, and Nereo Segnan, MD, MPH, for the SCORE Working GroupScreening for Colorectal Cancer Leading into a New Decade: The "Roaring '20s" for Epigenetic Biomarkers?Multicancer Screening: One Size Does Not Fit AllCost-Effectiveness of Colorectal Cancer Genetic TestingParticipatory simulation modeling to inform colorectal cancer screening in a complex remote northern health system: Canada's Northwest TerritoriesEnhancing bowel screening: Preventing colorectal cancer by flexible sigmoidoscopy in New ZealandClinical and Economic Impact of Tailoring Screening to Predicted Colorectal Cancer Risk: A Decision Analytic Modeling StudyStrategies for Colorectal Cancer ScreeningAll‐cause mortality versus cancer‐specific mortality as outcome in cancer screening trials: A review and modeling studyEstimating the Effect of Preventive Services With Databases of Administrative Claims: Reasons to Be ConcernedOverall mortality in men and women in the randomized Prostate, Lung, Colorectal, and Ovarian Cancer Screening TrialYou Should Get Screened for Colon Cancer, ReallyWhy What You May Not Know About Fecal Immunochemical Testing MattersAndrew W. Swartz, MDHow I do it: Does this cost-effectiveness analysis convince me about screening for Barrett's esophagus?Monitoring the performance of sigmoidoscopy screening: the need for a comprehensive approachPreventing colorectal cancer or early diagnosis: Which is best? A re-analysis of the U.S. Preventive Services Task Force Evidence ReportFindings during screening colonoscopies in a Middle Eastern cohortOccult blood in faeces: a window into health beyond the colorectum?Long-Term Effectiveness of Sigmoidoscopy Screening on Colorectal Cancer Incidence and Mortality in Women and Men A Randomized TrialØyvind Holme, MD, PhD, Magnus Løberg, MD, PhD, Mette Kalager, MD, PhD, Michael Bretthauer, MD, PhD, Miguel A. Hernán, MD, DrPH, Eline Aas, PhD, Tor J. Eide, MD, PhD, Eva Skovlund, MSc, PhD, Jon Lekven, MD, PhD, Jörn Schneede, MD, PhD, Kjell Magne Tveit, MD, PhD, Morten Vatn, MD, PhD, Giske Ursin, MD, PhD, and Geir Hoff, MD, PhD, for the NORCCAP Study Group†† 17 October 2017Volume 167, Issue 8Page: 602-603KeywordsCancer preventionCancer screeningCohort studiesColorectal cancerColorectal cancer screeningFlexible sigmoidoscopyLung and intrathoracic tumorsMortalityOvarian cancerRelative risk ePublished: 22 August 2017 Issue Published: 17 October 2017 Copyright & PermissionsCopyright © 2017 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.259
GPT teacher head0.495
Teacher spread0.236 · 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 designOther design
Domainnot available
GenreReview

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

Citations32
Published2017
Admission routes1
Has abstractyes

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