Evidence map›Paper›PMID 39270065›Full record

ArticleJNCI cancer spectrum2024

Glycemic control in diabetic patients improved overall lung cancer survival across diverse populations.

Wayne Y Wu, Brian Luke, Xiao-Cheng Wu, J Jack Lee, Yong Yi, Samuel C Okpechi, Barry Gause, Paras Mehta, Steven I Sherman, Augusto Ochoa and 2 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

12 authors.

Wayne Y WuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Brian LukeAdvanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.ORCID 0000-0002-2777-7376
Xiao-Cheng WuDepartment of Epidemiology, Louisiana State University Health Sciences Center, New Orleans, LA, USA.ORCID 0000-0003-3663-5027
J Jack LeeDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0001-5469-9214
Yong YiDepartment of Epidemiology, Louisiana State University Health Sciences Center, New Orleans, LA, USA.ORCID 0000-0001-6101-5175
Samuel C OkpechiMolecular Pharmacology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.ORCID 0009-0008-3679-2915
Barry GauseClinical Research Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Paras MehtaDepartment of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0001-5434-5424
Steven I ShermanDepartment of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-3079-5153
Augusto OchoaDepartment of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA, USA.ORCID 0000-0001-6457-8029
Ethan DmitrovskyMolecular Pharmacology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.ORCID 0000-0003-1971-9085
Xi LiuMolecular Pharmacology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.ORCID 0000-0002-4462-1832

Funding

Frederick National Laboratory's Laboratory Directed Exploratory ResearchSamuel Waxman Cancer Research Foundation Award
6 · The paper itself

Abstract

backgroundThe consequence of diabetes on lung cancer overall survival (OS) is debated. This retrospective study used 2 large lung cancer databases to assess comprehensively diabetes effects on lung cancer OS in diverse demographic populations, including health disparity.

methodsThe University of Texas MD Anderson Cancer Center database (32 643 lung cancer patients with 11 973 patients with diabetes) was extracted from electronic health records (EHRs) using natural language processing (NLP). Associations were between diabetes and lung cancer prognostic features (age, sex, race, body mass index [BMI], insurance status, smoking, stage, and histopathology). Hemoglobin A1C (HgbA1c) and glucose levels assessed glycemic control. Validation was with a Louisiana cohort (17 768 lung cancer patients with 5402 patients with diabetes) enriched for health disparity cases. Kaplan-Meier analysis, log-rank test, multivariable Cox proportional hazard models, and survival tree analyses were employed.

resultsLung cancer patients with diabetes exhibited marginally elevated OS or no statistically significant difference versus nondiabetic patients. When examining OS for 2 glycemic levels (HgbA1c > 7.0 or glucose > 154 mg/dL vs HgbA1c > 9.0 or glucose > 215 mg/dL), a statistically significant improvement in OS occurred in lung cancer patients with controlled versus uncontrolled glycemia (P < .0001). This improvement spanned sex, age, smoking status, insurance status, stage, race, BMI, histopathology, and therapy. Survival tree analysis revealed that obese and morbidly obese patients with controlled glycemia had higher lung cancer OS than comparison groups.

conclusionThese findings indicate a need for optimal glycemic control to improve lung cancer OS in diverse populations with diabetes.

Indexed as

Blood GlucoseGlycated HemoglobinGlycemic ControlLung NeoplasmsProportional Hazards ModelsAgedAge FactorsBody Mass IndexDatabases, FactualDiabetes MellitusFemaleHealth Status DisparitiesHumansInsurance CoverageKaplan-Meier EstimateLouisianaBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID39270065
PMCPMC11973429

What Socratic holds

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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 Socratic graph.