Evidence map›Paper›PMID 31511803›Full record

ArticleCureus2019

Association of Obesity Indicators with Hypertension in Type 2 Diabetes Mellitus Patients.

Ghulam Mohyud Din Chaudhary, Asim Tameez Ud Din, Farooq Mohyud Din Chaudhary, Azfar Tanveer, Khaleeq H Siddiqui, Asma Tameez Ud Din, Noman A Chaudhary, Sana Mohyud Din Chaudhary, Ahsan Tameez-Ud-Din, Faisal Nawaz

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

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

  1. Pooled it
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  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Profiling the phyto-constituents ofSaudi journal of biological sciences · 2020
    Article
  12. Influence of Hypertension on the Survival of Non-Small Cell Lung Cancer Patients with Type 2 Diabetes Mellitus.Medical science monitor : international medical journal of experimental and clinical research · 2020
    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 4 institutions in 3 countries.

Ghulam Mohyud Din ChaudharyInternal Medicine, Nishtar Medical University & Hospital, Multan, PAK.
Asim Tameez Ud DinInternal Medicine, Rawalpindi Medical University, Rawalpindi, PAK.
Farooq Mohyud Din ChaudharyGastroenterology, Nishtar Medical University & Hospital, Multan, PAK.
Azfar TanveerInternal Medicine, Nishtar Medical University & Hospital, Multan, PAK.
Khaleeq H SiddiquiInternal Medicine, NewYork-Presbyterian Queens, Flushing, USA.
Asma Tameez Ud DinInternal Medicine, Nishtar Medical University & Hospital, Multan, PAK.
Noman A ChaudharySurgery, Rawalpindi Medical University, Rawalpindi, PAK.
Sana Mohyud Din ChaudharyInternal Medicine, Combined Military Hospital Lahore Medical College & Institute of Dentistry, Lahore, PAK.
Ahsan Tameez-Ud-DinInternal Medicine, Rawalpindi Medical University, Rawalpindi, PAK.
Faisal NawazGastroenterology, Good Hope Hospital, University Hospitals Birmingham, Birmingham, GBR.
New York Hospital Queens · USCombined Military Hospital · PKNishtar Medical College and Hospital · PKRawalpindi Medical University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the association of waist circumference (WC), waist to hip ratio (WHR) and body mass index (BMI) with hypertension in type 2 diabetes mellitus (DM) patients in a tertiary care hospital.

methodsThe anthropometric measures of patients were recorded in the Diabetic Outdoor of Nishtar Hospital Multan from 2013 to 2018 after taking approval from the Institutional Ethical Review Committee. All patients were evaluated in detail after obtaining informed consent. Data was entered and analyzed in SPSS version 20 (IBM Corp., Armonk, NY, USA).

resultsData of 4556 type 2 DM patients, 2549 (55.9%) females, and 2007 (44.1%) males, was analyzed. Mean age of the study population was 47.72 years. Mean age of females was 47.32 years, while of males was 48.23 years. A total of 3393 (74.5%) of the patients had hypertension, 1912 females and 1481 males. The mean systolic blood pressure (SBP) was 130.84 mmHg, while the mean diastolic blood pressure (DBP) was 82.65 mmHg. Mean WC was 102.85 cm. Mean hip circumference was 100.33 cm. Mean weight was 66.93 kg. Mean height was 1.59 m. Mean WHR was 1.02. Mean BMI was 26.37 kg/m2. Obesity (BMI >27 kg/m2) was found in 1,891 (41.5%) of patients. Central obesity was found in 80.7% and 94.7% of type 2 DM patients according to the WC and WHR cutoff, respectively. Hypertension was significantly associated with all the obesity indicators (p<0.001). Type 2 DM patients with a high WHR were more likely to be hypertensive as compared to those with normal WHR (75% versus 65%, odds ratio (OR) 1.6, p<0.001). A higher than normal WC was also significantly associated with hypertension (79% versus 56%, OR 2.9, p<0.001). Similarly, obese type 2 DM patients with a BMI >27 kg/m2 were more likely to be hypertensive as compared to those with a normal range (18.5 to 22.9 kg/m2) BMI (83.1% versus 64.4%, OR 2.7, p<0.001).

conclusionDiabetes is more prevalent in females and middle-aged people. Hypertension and obesity are two very common comorbidities of diabetes. Hypertension is strongly associated with all the parameters (WC, WHR, and BMI) of obesity.

Indexed as

body mass indexhypertensionobesitytype 2 diabetes mellituswaist circumferencewaist to hip ratio

Identifiers

PMID31511803
PMCPMC6716964
OpenAlexW2955542625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.