Evidence map›Paper›PMID 35855919›Full record

ArticlePreventive medicine reports2022

The role of smoking history in longitudinal changes in C-reactive protein between Black and White older adults in the US.

Nancy C Jao, Aresha Martinez-Cardoso, Moin Vahora, Marcia M Tan

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Nancy C JaoDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, United States.
Aresha Martinez-CardosoDepartment of Public Health Sciences, University of Chicago, United States.
Moin VahoraDepartment of Public Health Sciences, University of Chicago, United States.
Marcia M TanDepartment of Public Health Sciences, University of Chicago, United States.
University of Chicago · USBrown University · USChicago Department of Public Health · US

Funding

Examining differential effects of obesity on inflammation in ex-smokers to understand racial disparities in cancer riskR21CA249357 · NCI · UNIVERSITY OF CHICAGO · PI TAN, MARCIA MCNUTT · 2020 to 2020
$297k
NCI NIH HHS R21 CA249357
6 · The paper itself

Abstract

Smoking cessation is associated with decreases in C-reactive protein (CRP), a biomarker of systemic inflammation and cancer risk; yet CRP levels remain higher long-term in individuals who quit vs. those who never smoked. While non-Hispanic, Black/African American (NHB) have higher levels of CRP vs. non-Hispanic, White/Caucasian (NHW) adults, the association between CRP and race has not been examined in individuals with smoking history. Utilizing longitudinal data from the Health and Retirement Study (HRS), the current study examined the effects of race and smoking history on CRP in older adults. NHB (n = 242) and NHW (n = 1529) participants completed HRS assessments in 2006, 2010, and 2014. Dried blood spots collected at each wave were assayed for CRP. Linear mixed models were used to examine the effect of race and smoking history on CRP across waves - controlling for sociodemographics, physical activity, body mass index (BMI), and current smoking. Overall, results showed no significant effects of race or current smoking on CRP; rather age, sex, education, BMI, physical activity, smoking history, and time × race predicted CRP (

Indexed as

CRP, C-reactive proteinHRS, Health and Retirement StudyNHB, Non-Hispanic, Black/African AmericanNHW, Non-Hispanic, White

Identifiers

PMID35855919
PMCPMC9287345
OpenAlexW4284686962

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.