Evidence map›Paper›PMID 42376813›Full record

Observational studyCancer control : journal of the Moffitt Cancer Center

Clinical Diagnosis Codes Identify Patients Unlikely to Receive Orders for Fecal Immunochemical Tests.

Andrew Tong Li, Shohei Burns, Dalia Martinez, Patricia Wang, Sona Aggarwal, Michael B Potter, Urmimala Sarkar, Ma Somsouk

Abstract readObservational Study
In one paragraph

Observational study in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Andrew Tong LiSchool of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID 0009-0006-6098-2060
Shohei BurnsDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Dalia MartinezAcademic Research Services, University of California, San Francisco, San Francisco, CA, USA.
Patricia WangDepartment of Public Health, San Francisco Health Network, San Francisco, CA, USA.
Sona AggarwalDepartment of Public Health, San Francisco Health Network, San Francisco, CA, USA.
Michael B PotterDepartment of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, USA.
Urmimala SarkarDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-4213-4405
Ma SomsoukDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionAutomated colorectal cancer (CRC) screening programs often invite all age-eligible patients for fecal immunochemical testing (FIT), but providers may defer screening in clinically complex patients. However, such nuanced decisions are not captured by most automated systems. We evaluated whether International Classification of Diseases, Tenth Revision (ICD-10) codes are associated with variations in FIT ordering patterns beyond age-based outreach criteria.MethodsIn a retrospective observational study of 15,020 screening-eligible patients aged 50-75, we compared the frequency of ICD-10 codes between patients with and without a FIT order. We repeated the analysis restricted to those with a Charlson Comorbidity Index (CCI)<5.ResultsOverall, 4,833 (32.2%) patients did not have a FIT order. Of the 1,215 ICD-10 codes examined, 96 were significantly associated with the absence of a FIT order (p<0.05). These codes frequently indicated digestive diseases (e.g., colonic neoplasm, diverticular disease), advanced comorbidities (e.g., frailty, paralysis), and acute conditions (e.g., fractures, severe infections). Among the patients with CCI<5, 41 codes were associated with the absence of a FIT order (p<0.05), such as heart failure and chronic kidney disease.ConclusionScreening-eligible patients without a FIT order were more likely to have ICD-10 codes reflecting digestive diseases, chronic comorbidities, and acute conditions. These findings demonstrate that specific diagnostic profiles are associated with real-world FIT ordering patterns, highlighting the need for further investigation into how comorbidities and competing clinical priorities relate to CRC screening decisions.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerOccult BloodAgedFecesFemaleHumansInternational Classification of DiseasesMaleMiddle AgedRetrospective Studiescolorectal cancer preventiondisparitieshigh-value careorganized outreachpanel managementpopulation health

Identifiers

PMID42376813
PMCPMC13319795

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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.