Evidence map›Paper›PMID 35546589›Full record

ArticleThe American journal of managed care2022

Assessing surveillance utilization and value in commercially insured patients with colorectal cancer.

Kangho Suh, Veena Shankaran, Aasthaa Bansal

Abstract read
In one paragraph

Article in The American journal of managed care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

3 authors.

Kangho Suh
Veena Shankaran
Aasthaa BansalUniversity of Washington, 1959 NE Pacific St, 375-B, Seattle, WA 98195-7630. Email: abansal@uw.edu.

Funding

Personalized Risk-AdaptIve Surveillance strategies in cancEr -- PRAISER37CA218413 · NCI · UNIVERSITY OF WASHINGTON · PI BANSAL, AASTHAA · 2018 to 2024
$3.0M
NCI NIH HHS R37 CA218413
6 · The paper itself

Abstract

objectivesReal-world patterns of surveillance testing in colorectal cancer (CRC) and the effects on health and cost outcomes are largely unknown. Our objectives were to (1) assess trends in carcinoembryonic antigen (CEA) testing, CT scans, and colonoscopy utilization and (2) examine the value of CEA testing intensity by characterizing receipt of curative treatment for recurrence and measuring direct medical costs. STUDY

designProspective cohort study.

methodsWe used an IBM MarketScan database to identify patients with a diagnosis of and treatment for CRC between 2008 and 2015. We used a negative binomial model to assess utilization of CEA testing and logistic models to assess utilization of CT scans and colonoscopies. We used a Cox proportional hazards model to assess surveillance intensity and time to curative treatment. We estimated direct medical costs using the Kaplan-Meier sample average estimator to account for censored costs.

resultsWe identified 3197 eligible patients. The mean numbers of CEA tests, CT scans, and colonoscopies remained relatively constant in the study period, but adherence to guidelines varied by surveillance. When categorizing individuals by their CEA utilization adherence to guidelines (perfect utilizers and overutilizers), overutilizers had an HR for curative treatment of 2.11 (95% CI, 1.46-3.05) relative to perfect utilizers. Although overutilizers underwent potentially curative procedures for recurrence at higher rates compared with perfect utilizers, direct medical costs were much higher in the overutilizer group.

conclusionsHigher intensity of surveillance, beyond what is recommended by guidelines, may lead to earlier recurrence detection and subsequent treatment, but this is associated with significantly higher direct medical costs.

Indexed as

Carcinoembryonic AntigenColorectal NeoplasmsColonoscopyHumansNeoplasm Recurrence, LocalProspective StudiesRetrospective StudiesTomography, X-Ray ComputedCarcinoembryonic Antigen

Identifiers

PMID35546589
PMCPMC9316744

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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.