ArticleCureus2023
Positive Fecal Occult Blood Test and Colonoscopy With Histopathology Findings in Saudi Adults.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Evaluating the implementation of colorectal cancer screening practices at King Abdul-Aziz Medical City, Riyadh.Journal of family medicine and primary care · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/aims Colorectal cancer cases are on the rise in developing countries, necessitating dependable detection tests. Moreover, medical procedures have become increasingly burdensome for both patients and healthcare professionals. This study aims to delve deeper into the fecal occult blood test (FOBT) as a potential solution. Settings and design The research took place at the Gastroenterology Specialized Clinic (Human Clinic) in Riyadh, Saudi Arabia. The study gathered results from colonoscopy/sigmoidoscopy, histopathology, and FOBT screening. Essential variables linked to colorectal cancer, including gastrointestinal symptoms, chronic diseases, hemoglobin (Hgb), body mass index (BMI), and medication usage, were documented to evaluate their potential predictive significance for positive outcomes. Methods and materials In line with the study aims, inclusion criteria covered Saudi adults aged 18 and above, experiencing lower GI symptoms, with colonoscopy or sigmoidoscopy, FOBT, and histopathological results. The resultant sample size was 72 patients. Non-Saudi individuals, symptoms-free patients, and those below 18 years were excluded. This retrospective analysis spanned from September 2021 to September 2022. For statistical analysis, after the data rationality was checked, parametric or non-parametric tests were used. P ≤ 0.05 was set as the significant level. Results Among the 72 patients, ranging in age from 18 to 80 (mean 42.94), males (57) outnumbered females (15). The average BMI was 27.56, with one-third of patients classified as overweight or obese. A majority of 47 (65.2%) exhibited normal Hgb levels while only five (7%) had abnormal levels. Results from colonoscopy or sigmoidoscopy and FOBT displayed statistical similarity between positive and negative outcomes. Additionally, the notable prevalence of positive results compared to negative ones underscores the resemblance between FOBT and colonoscopy/sigmoidoscopy findings. Conclusion Chronic illness, constitutional symptoms, BMI, and Hgb did not display a significant predictive value, However, the group with GI symptoms exhibited a strong prediction for favorable colonoscopy/sigmoidoscopy and histology outcomes. Additional research is necessary to validate these observed patterns.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.