Evidence map›Paper›PMID 38718321›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2024

Development and Implementation of a Digital Quality Measure of Emergency Cancer Diagnosis.

Paarth Kapadia, Andrew J Zimolzak, Divvy K Upadhyay, Saritha Korukonda, Riyaa Murugaesh Rekha, Umair Mushtaq, Usman Mir, Daniel R Murphy, Alexis Offner, Gary A Abel and 3 more

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  10. Application of a digital quality measure for cancer diagnosis in Epic Cosmos.Journal of the American Medical Informatics Association : JAMIA · 2025
    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

13 authors.

Paarth KapadiaCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX.
Andrew J ZimolzakCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX.ORCID 0000-0003-0973-5639
Divvy K UpadhyayGeisinger, Danville, PA.ORCID 0000-0001-8274-8052
Saritha KorukondaGeisinger, Danville, PA.
Riyaa Murugaesh RekhaGeisinger, Danville, PA.
Umair MushtaqCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX.
Usman MirCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX.ORCID 0009-0000-6827-9827
Daniel R MurphyCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX.ORCID 0000-0002-2329-668X
Alexis OffnerCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX.ORCID 0000-0002-5843-494X
Gary A AbelUniversity of Exeter, Exeter, United Kingdom.ORCID 0000-0003-2231-5161
Georgios LyratzopoulosEpidemiology of Cancer Healthcare and Outcomes, Institute of Epidemiology and Health Care, University College London, London, United Kingdom.ORCID 0000-0002-2873-7421
Luke T A MounceUniversity of Exeter, Exeter, United Kingdom.ORCID 0000-0002-6089-0661
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX.ORCID 0000-0002-4419-8974

Funding

Diagnostic Safety Center for Advancing E-triggers and Rapid Feedback Implementation (DISCOVERI)R18HS029347 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2022 to 2025
$4.0M
Developing e-Triggers to Detect Telemedicine Related Diagnostic Safety EventsR01HS028595 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI MURPHY, DANIEL R, SINGH, HARDEEP · 2022 to 2025
$1.6M
Application of a Machine Learning to Enhance e-Triggers to Detect and Learn from Diagnostic Safety EventsR01HS027363 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2019 to 2021
$1.5M
AHRQ HHS R01 HS027363AHRQ HHS R01 HS028595AHRQ HHS R18 HS029347
6 · The paper itself

Abstract

purposeMissed and delayed cancer diagnoses are common, harmful, and often preventable. Automated measures of quality of cancer diagnosis are lacking but could identify gaps and guide interventions. We developed and implemented a digital quality measure (dQM) of cancer emergency presentation (EP) using electronic health record databases of two health systems and characterized the measure's association with missed opportunities for diagnosis (MODs) and mortality.

methodsOn the basis of literature and expert input, we defined EP as a new cancer diagnosis within 30 days after emergency department or inpatient visit. We identified EPs for lung cancer and colorectal cancer (CRC) in the Department of Veterans Affairs (VA) and Geisinger from 2016 to 2020. We validated measure accuracy and identified preceding MODs through standardized chart review of 100 records per cancer per health system. Using VA's longitudinal encounter and mortality data, we applied logistic regression to assess EP's association with 1-year mortality, adjusting for cancer stage and demographics.

resultsAmong 38,565 and 2,914 patients with lung cancer and 14,674 and 1,649 patients with CRCs at VA and Geisinger, respectively, our dQM identified EPs in 20.9% and 9.4% of lung cancers, and 22.4% and 7.5% of CRCs. Chart reviews revealed high positive predictive values for EPs across sites and cancer types (72%-90%), and a substantial percent represented MODs (48.8%-84.9%). EP was associated with significantly higher odds of 1-year mortality for lung cancer and CRC (adjusted odds ratio, 1.78 and 1.83, respectively, 95% CI, 1.63 to 1.86 and 1.61 to 2.07).

conclusionA dQM for cancer EP was strongly associated with both mortality and MODs. The findings suggest a promising automated approach to measuring quality of cancer diagnosis in US health systems.

Indexed as

Electronic Health RecordsLung NeoplasmsAgedColorectal NeoplasmsEmergency Service, HospitalFemaleHumansMaleMiddle AgedNeoplasmsQuality Indicators, Health CareUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID38718321
PMCPMC11268555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.