Evidence map›Paper›PMID 19052034›Full record

ArticleJournal of epidemiology and community health2009

Sex differences in use of interventional cardiology persist after risk adjustment.

N Nante, G Messina, M Cecchini, O Bertetto, F Moirano, M McKee

Abstract readMulticenter Study
In one paragraph

Article in Journal of epidemiology and community health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Examining sex and gender disparities in total joint arthroplasty.Clinical orthopaedics and related research · 2011
    Review
  14. Article
  15. 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

6 authors.

N NanteHealth Services Research Laboratory, University of Sienna, Sienna, Italy. nante@unisi.it
G Messina
M Cecchini
O Bertetto
F Moirano
M McKee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies from several countries have documented gender disparities in the management of coronary artery disease. Whether such gender disparities are seen in Italy and, if so, whether they can be explained by factors such as age and severity of illness were investigated.

methods77 974 Piedmontese patients, admitted between 1999 and 2002, with a primary diagnosis of myocardial infarction (ICD 410), angina (ICD 413), chronic ischaemia (ICD 414) and chest pain (ICD 786.5) were studied. The number of men and women undergoing surgical treatment was extracted and the male-female odds ratios calculated. Several risk factors and a risk adjustment technique (APR-DRG) were used to control for possible confounders. Backward stepwise multiple logistic regression was used to adjust for significant covariates.

resultsCrude analysis demonstrated that gender is a discriminating factor in the probability of surgery (OR 2.11, 95% CI 2.04 to 2.19), with similar findings among those with each main diagnosis. The odds ratios decreased after adjustment for age, co-morbidity and disease severity but remained significant.

conclusionsMen and women admitted to hospitals in a region of northern Italy with a diagnosis of cardiovascular disease are treated differently and this cannot be explained by age or severity of disease.

Indexed as

AdultAgedAged, 80 and overAge FactorsDiabetic AngiopathiesEpidemiologic MethodsFemaleHealth Care RationingHeart FailureHospitalizationHumansItalyLength of StayMaleMiddle AgedMyocardial Ischemia

Identifiers

PMID19052034
PMCPMC2635953

What OpenQuestion 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 OpenQuestion graph.