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Record W103596736 · doi:10.1155/2011/680178

Fecal Occult Blood Testing While Waiting for Screening Colonoscopy in Average-Risk Individuals: Durable Option or Short-Term Solution?

2011· letter· en· W103596736 on OpenAlexaffvenueabout
Steven J. Heitman

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2011
Typeletter
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsColonoscopyFecal occult bloodMedicineTerm (time)OccultFecesInternal medicineIntensive care medicineColorectal cancerPathologyAlternative medicineBiologyCancer

Abstract

fetched live from OpenAlex

As the second leading cause of cancer mortality, colorectal cancer (CRC) is an important health issue. CRC fulfills the WHO criteria for mass screening (1). Furthermore, clinical practice guidelines have broadly endorsed CRC screening (2–5) and, for average-risk individuals, have generally supported choice among the available screening options. Nevertheless, CRC screening uptake remains disappointingly low (6). Population-based CRC screening programs are on the rise internationally, including here in Canada where several Canadian provinces either have a screening program in place or in development (7). Programs tend to support primary screening with the fecal occult blood test (FOBT) among those at average risk (7). Indeed, the recent Canadian Association of Gastroenterology position statement has emphasized that fecal immunochemical testing (FIT) or a high-sensitivity guaiac-based FOBT should be used for programmatic average-risk screening, with FIT being the test of choice (4), an approach that is also cost effective (8,9). Nevertheless, the use of colonoscopy for primary CRC screening is on the rise in many jurisdictions, which has contributed to long wait times for colonoscopy. In the current issue of The Canadian Journal of Gastroenterology, McGregor et al (10) (pages 248–252) report on the results of their study aimed to inform the content and design of a mailed invitation for average-risk individuals to complete an FOBT while on the wait list for screening colonoscopy. Focus groups were created through mailed invitation letters sent to 150 average-risk individuals randomly selected from the wait list for screening colonoscopy at the Forzani and MacPhail Colon Cancer Screening Centre in Calgary, Alberta. The purpose of the focus groups was to explore the reactions of average-risk individuals to different materials and strategies designed to encourage the completion of an FOBT while awaiting screening colonoscopy. Thirty-four individuals responded to the invitation, and 28 were ultimately available to attend one of three focus groups. The key findings from the focus groups were as follows: individuals were generally receptive to a mailed FOBT invitation, but the credibility of the materials sent was important and ideally associated with their family physician; brief letters without overuse of medical terminology were preferred; receipt soon after referral for colonoscopy along with a description of how the FOBT results would affect an individual’s position on the waiting list appeared to increase the likelihood of a response; and including the FOBT kit itself along with supportive materials in the mail were considered to be useful. There were limitations to this study that warrant consideration. The sample was comprised primarily of English-speaking, educated Caucasian individuals at a single academic institution. In addition, the number of individuals sampled was small, which may have limited the diversity of the opinions elicited. Finally, the overall response rate was low. As acknowledged by the authors, these factors have important implications in terms of the generalizability of the study findings. Despite its limitations, the study performed by McGregor et al (10) suggests that average-risk individuals would be receptive to an organized CRC screening intervention with FOBT while awaiting colonoscopy. Furthermore, it provides some guidance on how to optimize ‘buy in’ of such an intervention among those facing long wait times for screening colonoscopy. As such, these findings deserve consideration as a wait list management strategy. However, as population-based CRC screening programs become more widespread and established with an accompanying increase in screening uptake, it is inevitable that wait times for colonoscopy will amplify. It is conceivable that average-risk individuals wait-listed for primary screening colonoscopy might only receive the procedure when their stool-based test is positive. As such, a strategy of FOBT while waiting for screening colonoscopy may simply be a short-term solution. Instead, perhaps we should use the findings of McGregor et al (10) to develop an optimized FOBT – or better yet, FIT-based – CRC screening program for average-risk individuals to determine who should be offered a colonoscopy in the first place, rather than as a means of managing an increasingly unmanageable wait list. It may be time to reconsider whether primary screening colonoscopy for the average-risk individual with a negative fecal-based screening test is something we can – or should – be offering, given our current demands and resource constraints.

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)0.012
metaresearch head score (Gemma)0.068
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.068
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.057
GPT teacher head0.270
Teacher spread0.213 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2011
Admission routes3
Has abstractyes

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