Evidence map›Paper›PMID 29645077›Full record

ArticleCancer2018

A symptom-based model to predict colorectal cancer in low-resource countries: Results from a prospective study of patients at high risk for colorectal cancer.

Olusegun Isaac Alatise, Omobolaji O Ayandipo, Ademola Adeyeye, Ken Seier, Akinwunmi O Komolafe, Matthew O Bojuwoye, Oludapo O Afuwape, Ann Zauber, Adeleye Omisore, Samuel Olatoke and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 23% of its field
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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Colon and Rectal Cancer Management in Low-Resource Settings.Clinics in colon and rectal surgery · 2022
    Review
  8. Review
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 2 countries.

Olusegun Isaac AlatiseFaculty of Clinical Sciences, College of Health Sciences, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Omobolaji O AyandipoUniversity College Hospital, Ibadan, Nigeria.
Ademola AdeyeyeUniversity of Ilorin Teaching Hospital, Ilorin, Nigeria.
Ken SeierMemorial Sloan Kettering Cancer Center, New York, New York.
Akinwunmi O KomolafeFaculty of Clinical Sciences, College of Health Sciences, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Matthew O BojuwoyeUniversity of Ilorin Teaching Hospital, Ilorin, Nigeria.
Oludapo O AfuwapeUniversity College Hospital, Ibadan, Nigeria.
Ann ZauberMemorial Sloan Kettering Cancer Center, New York, New York.
Adeleye OmisoreFaculty of Clinical Sciences, College of Health Sciences, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Samuel OlatokeUniversity of Ilorin Teaching Hospital, Ilorin, Nigeria.
Adegboyega AkereUniversity College Hospital, Ibadan, Nigeria.
Olusola FamurewaFaculty of Clinical Sciences, College of Health Sciences, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Mithat GonenMemorial Sloan Kettering Cancer Center, New York, New York.
David O IraborUniversity College Hospital, Ibadan, Nigeria.
T Peter KinghamSurgeons OverSeas, New York, New York.
Obafemi Awolowo University Teaching Hospitals Complex · NGUniversity College Hospital, Ibadan · NGMemorial Sloan Kettering Cancer Center · USUniversity of Ilorin Teaching Hospital · NGSociety of Thoracic Surgeons · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) rates in low-resource countries, which typically lack CRC screening programs, are rising. This study determined whether a risk model for patients with rectal bleeding could identify patients with curable CRC.

methodsThis prospective, cross-sectional study evaluated a model constructed from data from 1 hospital and validated at 2 other hospitals. The primary endpoint was the ability of the model to predict CRC, as diagnosed by colonoscopy, from clinical characteristics. The secondary endpoint was to determine the percentage of patients who had CRC.

resultsConsecutive patients who were 45 years old or older and had self-reported rectal bleeding for more than 1 week were evaluated. From January 2014 to July 2016, 362 patients answered a questionnaire and underwent colonoscopy. In the validation cohort, 56% of patients with rectal bleeding, weight loss, and changes in bowel habits had CRC, whereas 2% of patients with bleeding alone did. Overall, 18.2% of the patients had CRC, and 8.6% had adenomas. The proportion of CRC patients with potentially curable stage II or III disease was 74%, whereas the historical rate was 36%. The combination of rectal bleeding with both symptoms significantly predicted CRC in the validation set (odds ratio, 12.8; 95% confidence interval, 4.6-35.4; P < .001).

conclusionsIn low-resource settings, patients with rectal bleeding, weight loss, and changes in bowel habits should be classified as high risk for CRC. Patients with a high risk score should be prioritized for colonoscopy to increase the number of patients diagnosed with potentially curable CRC. Cancer 2018;124:2766-2773. © 2018 American Cancer Society.

Indexed as

Models, BiologicalRectumAdenomaAgedAged, 80 and overColonoscopyColorectal NeoplasmsCross-Sectional StudiesDeveloping CountriesEarly Detection of CancerFemaleGastrointestinal HemorrhageHealth ResourcesHumansLogistic ModelsMalecancer screeningcolonoscopycolorectal cancerrectal bleeding

Identifiers

PMID29645077
PMCPMC6005740
OpenAlexW2797478059

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.