Evidence map›Paper›PMID 35939954›Full record

ArticleLung cancer (Amsterdam, Netherlands)2022

Sex disparities in lung cancer survival rates based on screening status.

Adriana A Rodriguez Alvarez, Sun Yuming, Jui Kothari, Subba R Digumarthy, Nicole M Byrne, Yi Li, David C Christiani

Abstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Observational
  8. Article
  9. 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

7 authors.

Adriana A Rodriguez AlvarezBoston University School of Medicine, 72 E Concord St, Boston, MA 02118, United States. Electronic address: ady95@bu.edu.
Sun YumingUniversity of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109-2029, United States.
Jui KothariDepartments of Environmental Health and Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building I Room 1401, Boston, MA 02115, United States; Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02115, United States.
Subba R DigumarthyDepartments of Environmental Health and Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building I Room 1401, Boston, MA 02115, United States; Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02115, United States; Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, United States.
Nicole M ByrneBoston University School of Medicine, 72 E Concord St, Boston, MA 02118, United States.
Yi LiUniversity of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109-2029, United States.
David C ChristianiDepartments of Environmental Health and Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building I Room 1401, Boston, MA 02115, United States; Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02115, United States; Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, United States.

Funding

The Boston Lung Cancer Survival CohortU01CA209414 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI David C Christiani · 2017 to 2026
$12.2M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
New Statistical Methods for Modelling Cancer OutcomesR01CA249096 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yi Li · 2021 to 2026
$2.5M
Detecting racial disparities in cancer survival by integrating multiple high-dimensional observational studiesR01CA269398 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GUHA, SUBHARUP, LI, YI · 2022 to 2025
$1.3M
NCI NIH HHS R01 CA249096NCI NIH HHS R01 CA269398NCI NIH HHS R35 CA197449NCI NIH HHS U01 CA209414
6 · The paper itself

Abstract

objectiveLow dose computed tomography (LDCT) became the standard method for lung cancer (LC) screening in 2013. However, it is unclear whether there are differences in survival rates based on sex and whether the differences depend on screening status. We aimed to evaluate the LC survival rates between females and males based on screening. MATERIAL AND

methodsThis retrospective cohort study examined data from the Boston LC Study (BLCS) between 2013 and 2021. LC screening depends on patients' demographics (age and smoking history) to determine whether a person is a high-risk individual and, therefore, undergo LDCT. Descriptive statistics were calculated for race, age, histology, smoking history, stage, and treatment. These variables' distributions were compared between sex and screening status using t-test and chi-square, respectively. Cox proportional hazards model and Kaplan-Meier curves were used to compare survival between sex and screening. Propensity score matching was applied to account for selection bias in screening when evaluating the association between screening and stage.

resultsA total of 1,216 LC patients were identified with a screening incidence of 9.4 %, among whom 56 % were female. Unscreened males had 1.59 times higher risk of mortality than unscreened females (P=.0002) and had a worse 5-year survival (male 50 %; 95 %CI, 0.38,0.6 vs female 70 %; 95 %CI,0.62,0.76). In contrast, there were no significant differences in survival between sexes among screened. In a balanced cohort of screened and unscreened, the odds of being diagnosed at late stages for females and smokers were 1.33 and 2.51 times that of males and nonsmokers; however, there were no statistical significance.

conclusionUnscreened females had a lower risk of mortality and better survival than unscreened males, while among the screened population, there was no difference in the overall survival. These observations demonstrate the influence of sex on survival prognosis in LC when screening is not performed.

Indexed as

Lung NeoplasmsEarly Detection of CancerFemaleHumansMaleMass ScreeningRetrospective StudiesSmokingSurvival RateLDCTLung cancerMortalityScreeningSex disparitiesSurvival

Identifiers

PMID35939954
PMCPMC9618021

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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.