Evidence map›Paper›PMID 26120135›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2015

Diagnostic inertia in obesity and the impact on cardiovascular risk in primary care: a cross-sectional study.

Damian R J Martínez-St John, Antonio Palazón-Bru, Vicente F Gil-Guillén, Armina Sepehri, Felipe Navarro-Cremades, Dolores Ramírez-Prado, Domingo Orozco-Beltrán, Concepción Carratalá-Munuera, Ernesto Cortés, María M Rizo-Baeza

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. 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

10 authors at 2 institutions in 1 country.

Damian R J Martínez-St JohnDepartment of Clinical Medicine;
Antonio Palazón-BruDepartment of Clinical Medicine, Miguel Hernández University, San Juan de Alicante, and Research Unit, Elda Hospital, Elda, Spain.
Vicente F Gil-GuillénDepartment of Clinical Medicine, Miguel Hernández University, San Juan de Alicante, and Research Unit, Elda Hospital, Elda, Spain.
Armina SepehriDepartment of Clinical Medicine;
Felipe Navarro-CremadesDepartment of Clinical Medicine;
Dolores Ramírez-PradoResearch Unit, Elda Hospital, Elda, Spain.
Domingo Orozco-BeltránDepartment of Clinical Medicine;
Concepción Carratalá-MunueraDepartment of Clinical Medicine;
Ernesto CortésDepartment of Pharmacology, Pediatrics, and Organic Chemistry, Miguel Hernández University, San Juan de Alicante, Spain.
María M Rizo-BaezaDepartment of Nursing, University of Alicante, San Vicente del Raspeig, Spain.
Hospital General de Elda · ESUniversity of Alicante · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevalence of diagnostic inertia (DI), defined as a failure to diagnose disease, has not been analysed in patients with obesity.

aimTo quantify DI for cardiovascular risk factors (CVRF) in patients with obesity, and determine its association with the cardiovascular risk score. DESIGN AND

settingCross-sectional study of people ≥40 years attending a preventive programme in primary healthcare centres in Spain in 2003-2004.

methodAll patients with obesity attending during the first 6 months of the preventive programme were analysed. Participants had to be free of CVD (myocardial ischaemia or stroke) and aged 40-65 years; the criteria used to measure SCORE (Systematic COronary Risk Evaluation). Three subgroups of patients with obesity with no personal history of CVRF but with poor control of risk factors were established. Outcome variable was DI, defined as poor control of risk factors and no action taken by the physician. Secondary variables were diabetes, fasting blood glucose (FBG), body mass index (BMI), and SCORE. Adjusted odds ratios (OR) was determined using multivariate logistic regression models.

resultsOf 8687 patients with obesity in the programme, 6230 fulfilled SCORE criteria. Prevalence of DI in the three subgroups was: hypertension, 1275/1816 (70.2%) patients affected (95% CI = 68.1 to 72.3%); diabetes, 335/359 (93.3%) patients affected (95% CI = 90.7 to 95.9%); dyslipidaemia subgroup, 1796/3341 (53.8%) patients affected (95% CI = 52.1 to 55.4%. Factors associated with DI for each subgroup were: for hypertension, absence of diabetes, higher BMI, and greater cardiovascular risk; for dyslipidaemia, diabetes, higher BMI, and greater cardiovascular risk (SCORE); and for diabetes, lower FBG levels, lower BMI, and greater cardiovascular risk.

conclusionThis study quantified DI in patients with obesity and determined that it was associated with a greater cardiovascular risk.

Indexed as

Diagnostic Techniques, CardiovascularAdultAgedAge FactorsBody Mass IndexCardiovascular DiseasesCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesityOdds RatioPrevalencePrimary Health CareReproducibility of Resultsdiabetes mellitusdyslipidaemiashypertensioninertiaobesityphysician’s practice patternsprimary health care

Identifiers

PMID26120135
PMCPMC4484946
OpenAlexW1953306498

What OpenQuestion holds

Textmetadata
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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.