Evidence map›Paper›PMID 21645336›Full record

ArticleBMC family practice2011

Gender bias revisited: new insights on the differential management of chest pain.

Stefan Bösner, Jörg Haasenritter, Maren Abu Hani, Heidi Keller, Andreas C Sönnichsen, Konstantinos Karatolios, Juergen R Schaefer, Erika Baum, Norbert Donner-Banzhoff

Abstract read
In one paragraph

Article in BMC family practice, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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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

16 citing papers in PubMed.

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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

9 authors.

Stefan BösnerDepartment of General Practice/Family Medicine, University of Marburg, 35032 Marburg, Germany. boesner@staff.uni-marburg.de
Jörg Haasenritter
Maren Abu Hani
Heidi Keller
Andreas C Sönnichsen
Konstantinos Karatolios
Juergen R Schaefer
Erika Baum
Norbert Donner-Banzhoff

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChest pain is a common complaint and reason for consultation in primary care. Few data exist from a primary care setting whether male patients are treated differently than female patients. We examined whether there are gender differences in general physicians' (GPs) initial assessment and subsequent management of patients with chest pain, and how these differences can be explained

methodsWe conducted a prospective study with 1212 consecutive chest pain patients. The study was conducted in 74 primary care offices in Germany from October 2005 to July 2006. After a follow up period of 6 months, an independent interdisciplinary reference panel reviewed clinical data of every patient and decided about the etiology of chest pain at the time of patient recruitment (delayed type-reference standard). We adjusted gender differences of six process indicators for different models.

resultsGPs tended to assume that CHD is the cause of chest pain more often in male patients and referred more men for an exercise test (women 4.1%, men 7.3%, p = 0.02) and to the hospital (women 2.9%, men 6.6%, p < 0.01). These differences remained when adjusting for age and cardiac risk factors but ceased to exist after adjusting for the typicality of chest pain.

conclusionsWhile observed gender differences can not be explained by differences in age, CHD prevalence, and underlying risk factors, the less typical symptom presentation in women might be an underlying factor. However this does not seem to result in suboptimal management in women but rather in overuse of services for men. We consider our conclusions rather hypothesis generating and larger studies will be necessary to prove our proposed model.

Indexed as

Chest PainCoronary DiseaseCross-Sectional StudiesExercise TestFemaleGermanyHospitalizationHumansLogistic ModelsMaleMiddle AgedPractice Patterns, Physicians'Primary Health CareProspective StudiesSex Factors

Identifiers

PMID21645336
PMCPMC3125218

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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.