Evidence map›Paper›PMID 33843600›Full record

ArticleJMIR cancer2021

Data Integration to Improve Real-world Health Outcomes Research for Non-Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration.

Michael Grabner, Cliff Molife, Liya Wang, Katherine B Winfree, Zhanglin Lin Cui, Gebra Cuyun Carter, Lisa M Hess

Registry-linked trialAbstract read
In one paragraph

Article in JMIR cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07433660 (WellSpan Study of Tracking Health and Resilience to Improve the Vitality of Individuals Experiencing Cancer [WellSpan-THRIVE]), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT07433660 recruitingnot on this mapstarted 2026, after this paper: background citation

WellSpan Study of Tracking Health and Resilience to Improve the Vitality of Individuals Experiencing Cancer [WellSpan-THRIVE]

Typeobservational_patient_registrySponsorWellSpan HealthRan2026 to 2031Enrolled1,000ConditionsCancer (Active Cancer, Meaning Not Being Cancer Free), of Any Stage and Involving Any Treatment/Care Regimen, i.e. Curative, Life-extending, or Palliative, Cancer (Solid Tumors), Cancer (With or Without Metastasis)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Michael GrabnerHealthCore Inc, Wilmington, DE, United States.ORCID https://orcid.org/0000-0002-6521-1007
Cliff MolifeEli Lilly and Company, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0001-8993-7024
Liya WangHealthCore Inc, Wilmington, DE, United States.ORCID https://orcid.org/0000-0003-0317-5685
Katherine B WinfreeEli Lilly and Company, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0003-2088-1004
Zhanglin Lin CuiEli Lilly and Company, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0002-7034-0946
Gebra Cuyun CarterEli Lilly and Company, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0002-6549-0069
Lisa M HessEli Lilly and Company, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0003-3631-3941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of data from disparate sources could help alleviate data insufficiency in real-world studies and compensate for the inadequacies of single data sources and short-duration, small sample size studies while improving the utility of data for research.

objectiveThis study aims to describe and evaluate a process of integrating data from several complementary sources to conduct health outcomes research in patients with non-small cell lung cancer (NSCLC). The integrated data set is also used to describe patient demographics, clinical characteristics, treatment patterns, and mortality rates.

methodsThis retrospective cohort study integrated data from 4 sources: administrative claims from the HealthCore Integrated Research Database, clinical data from a Cancer Care Quality Program (CCQP), clinical data from abstracted medical records (MRs), and mortality data from the US Social Security Administration. Patients with lung cancer who initiated second-line (2L) therapy between November 01, 2015, and April 13, 2018, were identified in the claims and CCQP data. Eligible patients were 18 years or older and received atezolizumab, docetaxel, erlotinib, nivolumab, pembrolizumab, pemetrexed, or ramucirumab in the 2L setting. The main analysis cohort included patients with claims data and data from at least one additional data source (CCQP or MR). Patients without integrated data (claims only) were reported separately. Descriptive and univariate statistics were reported.

resultsData integration resulted in a main analysis cohort of 2195 patients with NSCLC; 2106 patients had CCQP and 407 patients had MR data. The claims-only cohort included 931 eligible patients. For the main analysis cohort, the mean age was 62.1 (SD 9.27) years, 48.56% (1066/2195) were female, the median length of follow-up was 6.8 months, and for 37.77% (829/2195), death was observed. For the claims-only cohort, the mean age was 66.6 (SD 12.69) years, 52.1% (485/931) were female, the median length of follow-up was 8.6 months, and for 29.3% (273/931), death was observed. The most frequent 2L treatment was immunotherapy (1094/2195, 49.84%), followed by platinum-based regimens (472/2195, 21.50%) and single-agent chemotherapy (441/2195, 20.09%); mean duration of 2L therapy was 5.6 (SD 4.9, median 4) months. We describe challenges and learnings from the data integration process, and the benefits of the integrated data set, which includes a richer set of clinical and outcome data to supplement the utilization metrics available in administrative claims.

conclusionsThe management of patients with NSCLC requires care from a multidisciplinary team, leading to a lack of a single aggregated data source in real-world settings. The availability of integrated clinical data from MRs, health plan claims, and other sources of clinical care may improve the ability to assess emerging treatments.

Indexed as

administrative claims datacancerdata aggregationelectronic health recordhealth services researchmedical recordsnon–small cell lung cancerpopulation healthreal-world dataretrospective study

Identifiers

PMID33843600
PMCPMC8076987

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.