Evidence map›Paper›PMID 40585097›Full record

ArticlemedRxiv : the preprint server for health sciences2025

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 Potter, Urmimala Sarkar, Ma Somsouk

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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, United States.ORCID 0009-0006-6098-2060
Shohei BurnsDepartment of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0001-7622-4658
Dalia MartinezAcademic Research Services, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0001-7530-7822
Patricia WangSan Francisco Health Network, Department of Public Health.ORCID 0000-0002-6870-6646
Sona AggarwalSan Francisco Health Network, Department of Public Health.
Michael PotterDepartment of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-9930-392X
Urmimala SarkarDepartment of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0003-4213-4405
Ma SomsoukDepartment of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0001-6116-3645

Funding

IMProving Adherence to Colonoscopy through Teams and Technology (IMPACTT)R01CA271031 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Urmimala Sarkar, Ma Somsouk · 2022 to 2026
$3.3M
NCI NIH HHS R01 CA271031
6 · The paper itself

Abstract

Introduction: Organized screening programs automate fecal immunochemical test (FIT) outreach based on chronological age. However, providers and patients may defer screening due to coexisting conditions, which can be captured by International Classification of Disease, 10 Methods: We included screen-eligible patients with a primary care visit between June 2022 and June 2023. We enumerated and compared the frequency of each ICD-10 code between patients with and without a FIT ordered. We conducted a subgroup analysis including only those with a Charlson comorbidity index (CCI) <5. Results: We identified 15,020 screen-eligible patients, with 10,187 (67.8%) patients having had a FIT order and 4,833 (32.3%) patients without a FIT order. Of the 1,215 ICD-10 codes examined, 96 were significantly associated with not having a FIT order. One broad category of codes pertained to digestive diseases such as benign and malignant colonic neoplasms (ICD-10 code C18, odds ratio (OR) 0.06, 95% CI [0.001-0.44]) and diverticular disease (K57, OR 0.26 [0.18-0.36]). Another category was comorbid conditions which included frailty (R54, OR 0.14 [0.03-0.55]) and paralysis (G82, OR 0.14 [0.03-0.55]). Those with acute conditions such as cervical fractures (S12, OR 0.23 [0.10-0.48]) and cryptococcosis (B45, OR 0.05 [0.001-0.38]) were also less likely to have a FIT order. Among the patients with CCI<5, 41 codes were significantly associated with not having a FIT order, including heart failure (I50, OR 0.55 [0.43-0.71]) and chronic kidney disease (N18, OR 0.58 [0.43-0.77]). Conclusion: Patients deferred from screening were more likely to have ICD-10 codes signifying digestive diseases, comorbidities, and acute conditions. Even among patients with fewer co-morbid conditions, we identified health conditions that were associated with screening deferral. Future work should consider whether screening programs could incorporate ICD-10 codes to align FIT outreach more closely with provider and patient preferences.

Indexed as

colorectal cancerorganized outreachpanel managementpopulation healthprevention

Identifiers

PMID40585097
PMCPMC12204409

What OpenQuestion holds

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Registered trials

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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.