Evidence map›Paper›PMID 23701579›Full record

ArticleSocial work in health care2013

Predictors of smoking patterns after first stroke.

Michael J McCarthy, Nathalie Huguet, Jason T Newsom, Mark S Kaplan, Bentson H McFarland

Abstract read
In one paragraph

Article in Social work in health care, 2013. 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. Smoking-cessation pharmacotherapy for patients with stroke and TIA: Systematic review.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2020
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Long-term trends and predictors of smoking behaviors among men following first-ever ischemic stroke.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2017
    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

5 authors.

Michael J McCarthySchool of Social Work, University of Cincinnati, Cincinnati, Ohio, USA. mccarml@ucmail.uc.edu
Nathalie Huguet
Jason T Newsom
Mark S Kaplan
Bentson H McFarland

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Health Behavior Trajectories Following Chronic Illness in Mid to Late LifeR01AG034211 · NIA · PORTLAND STATE UNIVERSITY · PI NEWSOM, JASON T · 2009 to 2010
$529k
NIA NIH HHS R01 AG034211NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

Persistent smoking following stroke is associated with poor outcomes including development of secondary stroke and increased mortality risk. This study uses longitudinal data from the U.S. Health and Retirement Study (1992-2008) to investigate whether depression and duration of inpatient hospital care impact smoking outcomes among stroke survivors (N = 745). Longer duration of care was associated with lower likelihood of persistent smoking. Depression was associated with greater cigarette consumption. Interaction effects were also significant, indicating that for survivors who experienced longer inpatient care there was a weaker association between depression and cigarette consumption. Implications for practice and research are discussed.

Indexed as

AgedAged, 80 and overDepressionFemaleHumansLength of StayLongitudinal StudiesMaleMiddle AgedSmokingStrokeUnited States

Identifiers

PMID23701579
PMCPMC4444360

What OpenQuestion holds

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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.