Evidence map›Paper›PMID 22935397›Full record

ArticleStroke2012

30-Day risk-standardized mortality and readmission rates after ischemic stroke in critical access hospitals.

Judith H Lichtman, Erica C Leifheit-Limson, Sara B Jones, Yun Wang, Larry B Goldstein

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Stroke, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Trial
  3. A Scoping Review of Inpatient Medical and Surgical Quality Outcomes at Critical Access Hospitals.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
  4. Article
  5. Sex differences in cardiovascular response to sepsis.American journal of physiology. Cell physiology · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Judith H LichtmanSection of Chronic Disease Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520-8034, USA. Judith.Lichtman@yale.edu
Erica C Leifheit-Limson
Sara B Jones
Yun Wang
Larry B Goldstein

Funding

Stroke Hospitalization in the Elderly with Medicare FFSR01NS043322 · NINDS · YALE UNIVERSITY · PI LICHTMAN, JUDITH H · 2005 to 2009
$2.2M
NINDS NIH HHS R01 NS043322NINDS NIH HHS R01NS043322
6 · The paper itself

Abstract

background and purposeThe critical access hospital (CAH) designation was established to provide rural residents with local access to emergency and inpatient care. CAHs, however, have poorer short-term outcomes for pneumonia, heart failure, and myocardial infarction compared with other hospitals. We assessed whether 30-day risk-standardized mortality rates (RSMRs) and risk-standardized readmission rates (RSRRs) after ischemic stroke differ between CAHs and non-CAHs.

methodsThe study included all fee-for-service Medicare beneficiaries 65 years of age or older with a primary discharge diagnosis of ischemic stroke (International Classification of Diseases, 9th revision codes 433, 434, 436) in 2006. Hierarchical generalized linear models calculated hospital-level RSMRs and RSRRs, adjusting for patient demographics, medical history, and comorbid conditions. Non-CAHs were categorized by hospital volume quartiles and the RSMR and RSRR posterior probabilities in comparison with CAHs were determined using linear regression with Markov chain Monte Carlo simulation.

resultsThere were 10 267 ischemic stroke discharges from 1165 CAHs and 300 114 discharges from 3381 non-CAHs. The RSMRs of CAHs were higher than non-CAHs (11.9%± 1.4% vs 10.9%± 1.7%; P<0.001), but the RSRRs were comparable (13.7%± 0.6% vs 13.7%± 1.4%; P=0.3). The RSMRs for the 2 higher volume quartiles of non-CAHs were lower than CAHs (posterior probability of RSMRs higher than CAHs=0.007 for quartile 3; P<0.001 for quartile 4), but there were no differences for lower volume hospitals; RSRRs did not vary by annual hospital volume.

conclusionsCAHs had higher RSMRs compared with non-CAHs, but readmission rates were similar. The observed differences may be partly explained by patient characteristics and annual hospital volume.

Indexed as

Critical CareHospital MortalityAgedAged, 80 and overClinical CodingFemaleHospitalsHumansLinear ModelsMaleMarkov ChainsMedicareOutcome Assessment, Health CarePatient ReadmissionRetrospective StudiesRisk Factors

Identifiers

PMID22935397
PMCPMC3547601

What OpenQuestion holds

Textmetadata
LicenceTDM
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.