Evidence map›Paper›PMID 28315007›Full record

ArticleInternational urology and nephrology2017

Central obesity and risks of cardiovascular events and mortality in prevalent hemodialysis patients.

Heba Wahid El Said, Osama Mahmoud Mohamed, Tamer Wahid El Said, Ahmed Bahaa El Serwi

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Article in International urology and nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Heba Wahid El SaidDepartments of Nephrology and Radio-Diagnosis, Ain Shams University, Abbassia, Cairo, 11351, Egypt. h.elsaid@med.asu.edu.eg.ORCID http://orcid.org/0000-0002-2328-2368
Osama Mahmoud MohamedDepartments of Nephrology and Radio-Diagnosis, Ain Shams University, Abbassia, Cairo, 11351, Egypt.
Tamer Wahid El SaidDepartments of Nephrology and Radio-Diagnosis, Ain Shams University, Abbassia, Cairo, 11351, Egypt.
Ahmed Bahaa El SerwiDepartments of Nephrology and Radio-Diagnosis, Ain Shams University, Abbassia, Cairo, 11351, Egypt.
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo date, no attempt has been made to assess the best anthropometric method for defining abdominal adiposity in hemodialysis (HD) patients or to determine whether the quantity of intra-abdominal fat relates to morbidity and mortality in that population. We aimed to describe the prevalence of central obesity in HD patients and to investigate the relationship between central obesity assessed by anthropometric variables, and composite outcomes, cardiovascular morbidity and mortality among HD patients and whether this parameter correlates with intra-abdominal fat assessed by computed tomography scan (CT scan).

methodsThe procedures followed were in accord with the ethical standards of the committee on human experimentation of our institution. Informed oral consent was obtained from all patients. This was a cross-sectional study of 120 prevalent HD patients. Anthropometric measurements including body mass index, conicity index (Ci), waist-hip ratio (WHR), waist circumference (WC), waist-to-height ratio (WHtR), and visceral adiposity index (VAI) were recorded. Visceral and subcutaneous abdominal fat were assessed by CT scan. Comorbidity was scored for both the Charlson comorbidity index (CCI) and Davies comorbidity index.

resultsTwenty-eight patients (23.3%) were centrally obese based on anthropometry. By linear regression analysis, Ci, WHR, and VAI were predictors of CT assessed central obesity; p 0.042, 0.001, and 0.010, respectively. On assessment of the relationship between the abdominal obesity and the comorbidity indices, there was a positive significant correlation between Ci and CCI (p 0.025) and Davies score (p 0.002) which are predictors of mortality. During the mean follow-up period (3.2 years), 56 patients reached the composite outcome; eight patients died and 48 experienced CV events. Central obesity measured by anthropometry was a predictor of composite outcomes, cardiovascular morbidity, and mortality in HD patients by regression analysis and cox regression model. Only WC and WHtR did not predict mortality.

conclusionCi, WHR, and VAI are cheap alternatives for accurate assessment of morbidity and mortality risk in centrally obese prevalent HD patients.

Indexed as

Intra-Abdominal FatAdultAgedBody HeightBody Mass IndexCardiovascular DiseasesComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesity, AbdominalPrevalenceRenal DialysisRisk FactorsCentral obesityHemodialysisMorbidity

Identifiers

PMID28315007
OpenAlexW2597048836

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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.