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Enregistrement 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 sur OpenAlexaffvenueabout
Steven J. Heitman

Notice bibliographique

RevueCanadian Journal of Gastroenterology · 2011
Typeletter
Langueen
DomaineMedicine
ThématiqueColorectal Cancer Screening and Detection
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésColonoscopyFecal occult bloodMedicineTerm (time)OccultFecesInternal medicineIntensive care medicineColorectal cancerPathologyAlternative medicineBiologyCancer

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,068
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,062

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,068
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0030,004
Science ouverte0,0020,002
Intégrité de la recherche0,0050,005
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,057
Tête enseignante GPT0,270
Écart entre enseignants0,213 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2011
Routes d'admission3
Résumé présentoui

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