Evidence map›Paper›PMID 26138902›Full record

ArticleCancer epidemiology2015

Guideline-concordant timely lung cancer care and prognosis among elderly patients in the United States: A population-based study.

Pramit Nadpara, S Suresh Madhavan, Cindy Tworek

Abstract read
In one paragraph

Article in Cancer epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
–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

61 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Trial
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  6. Review
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  13. Article
  14. The Effect of Pandemic on Lung Cancer Waiting Time - Tertiary Center Experience.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  15. Death by a thousand delays.JTCVS open · 2024
    Article
  16. Article
  17. Review
  18. Article
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  20. Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Pramit NadparaVirginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy & Outcomes Science, Richmond, VA 23298-0533, USA. Electronic address: panadpara@vcu.edu.
S Suresh MadhavanWest Virginia University, School of Pharmacy, Department of Pharmaceutical Systems & Policy, Morgantown, WV 26506-9500, USA.
Cindy TworekWest Virginia University, School of Pharmacy, Department of Pharmaceutical Systems & Policy, Morgantown, WV 26506-9500, USA.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sijin Wen · 2012 to 2026
$81.0M
West Virginia CoHORTS CenterR24HS018622 · AHRQ · WEST VIRGINIA UNIVERSITY · PI MADHAVAN, S. SURESH · 2009 to 2011
$1.5M
AHRQ HHS #1R24HS018622-01AHRQ HHS R24 HS018622NIGMS NIH HHS U54 GM104942NIGMS NIH HHS U54GM104942
6 · The paper itself

Abstract

objectivesElderly carry a disproportionate burden of lung cancer in the US. Therefore, its important to ensure that these patients receive quality cancer care. Timeliness of care is an important dimension of cancer care quality but its impact on prognosis remains to be explored. This study evaluates the variations in guideline-concordant timely lung cancer care and prognosis among elderly in the US. MATERIALS AND

methodsUsing the Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2002-2007), we identified elderly patients with lung cancer (n=48,850) and determined time to diagnosis and treatment. We categorized patients by receipt of timely care using guidelines from the British Thoracic Society and the RAND Corporation. Hierarchical generalized logistic model was constructed to identify variables associated with receipt of timely care. Kaplan-Meier analysis and Log Rank test was used for estimation and comparison of the three-year survival. Multivariable Cox proportional hazards model was constructed to estimate lung cancer mortality risk associated with receipt of delayed care.

resultsTime to diagnosis and treatment varied significantly among the elderly. However, majority of them (77.5%) received guideline-concordant timely lung cancer care. The likelihood of receiving timely care significantly decreased with NSCLC disease, early stage diagnosis, increasing age, non-white race, higher comorbidity score, and lower income. Paradoxically, survival outcomes were significantly worse among patients receiving timely care. Adjusted lung cancer mortality risk was also significantly lower among patients receiving delayed care, relative to those receiving timely care (Hazard ratio (HR)=0.68, 95% Confidence interval (CI)=(0.66-0.71); p ≤ 0.05).

conclusionThis study highlights the critical need to address disparities in receipt of guideline-concordant timely lung cancer care among elderly. Although timely care was not associated with better prognosis in this study, any delays in diagnosis and treatment should be avoided, as it may increase the risk of disease progression and psychological stress in patients. Furthermore, given that lung cancer diagnostic and management services are covered under the Medicare program, observed delays in care among Medicare beneficiaries is also a cause for concern.

Indexed as

Time-to-TreatmentAgedCarcinoma, Non-Small-Cell LungFemaleGuideline AdherenceHumansKaplan-Meier EstimateLung NeoplasmsMalePractice Guidelines as TopicPrognosisProportional Hazards ModelsSEER ProgramUnited StatesCancerDisparitiesElderlyGuidelinesLungMedicareTreatment

Identifiers

PMID26138902
PMCPMC4679644

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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.