Evidence map›Paper›PMID 31899856›Full record

ArticleCancer medicine2020

Developing a cancer-specific trigger tool to identify treatment-related adverse events using administrative data.

Saul N Weingart, Jason Nelson, Benjamin Koethe, Omar Yaghi, Stephan Dunning, Albert Feldman, David M Kent, Allison Lipitz-Snyderman

Abstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

8 authors.

Saul N WeingartTufts Medical Center, Boston, MA, USA.ORCID 0000-0003-3262-9957
Jason NelsonPredictive Analytics and Comparative Effectiveness Center, Tufts University School of Medicine, Boston, MA, USA.
Benjamin KoethePredictive Analytics and Comparative Effectiveness Center, Tufts University School of Medicine, Boston, MA, USA.
Omar YaghiTufts Medical Center, Boston, MA, USA.
Stephan DunningOptumLabs, Cambridge, MA, USA.
Albert FeldmanOptumLabs, Cambridge, MA, USA.
David M KentTufts Medical Center, Boston, MA, USA.
Allison Lipitz-SnydermanMemorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-2423-2220

Funding

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

Abstract

backgroundAs there are few validated tools to identify treatment-related adverse events across cancer care settings, we sought to develop oncology-specific "triggers" to flag potential adverse events among cancer patients using claims data.

methods322 887 adult patients undergoing an initial course of cancer-directed therapy for breast, colorectal, lung, or prostate cancer from 2008 to 2014 were drawn from a large commercial claims database. We defined 16 oncology-specific triggers using diagnosis and procedure codes. To distinguish treatment-related complications from comorbidities, we required a logical and temporal relationship between a treatment and the associated trigger. We tabulated the prevalence of triggers by cancer type and metastatic status during 1-year of follow-up, and examined cancer trigger risk factors.

resultsCancer-specific trigger events affected 19% of patients over the initial treatment year. The trigger burden varied by disease and metastatic status, from 6% of patients with nonmetastatic prostate cancer to 41% and 50% of those with metastatic colorectal and lung cancers, respectively. The most prevalent triggers were abnormal serum bicarbonate, blood transfusion, non-contrast chest CT scan following radiation therapy, and hypoxemia. Among patients with metastatic disease, 10% had one trigger event and 29% had two or more. Triggers were more common among older patients, women, non-whites, patients with low family incomes, and those without a college education.

conclusionsOncology-specific triggers offer a promising method for identifying potential patient safety events among patients across cancer care settings.

Indexed as

Administrative Claims, HealthcareAgedAntineoplastic AgentsDrug-Related Side Effects and Adverse ReactionsFemaleFollow-Up StudiesHumansMaleMedical OncologyMiddle AgedNeoplasmsPatient SafetyRadiation InjuriesRetrospective StudiesRisk AssessmentRisk FactorsAntineoplastic Agentsadverse eventepidemiologyoncologypatient safetyquality of caretrigger tool

Identifiers

PMID31899856
PMCPMC7013078

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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.