Evidence map›Paper›PMID 24970985›Full record

ArticleJournal of mid-life health2014

Body iron stores in middle-aged North Indian patients with type 2 diabetes and obesity.

Monica Gupta, Anshu Palta, Ram Singh, Sarabmeet Singh Lehl

Open access · diamondAbstract read
In one paragraph

Article in Journal of mid-life health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 7 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.

Monica GuptaDepartment of Medicine, Government Medical College and Hospital, Chandigarh, India.
Anshu PaltaDepartment of Pathology, Government Medical College and Hospital, Chandigarh, India.
Ram SinghDepartment of Medicine, Government Medical College and Hospital, Chandigarh, India.
Sarabmeet Singh LehlDepartment of Medicine, Government Medical College and Hospital, Chandigarh, India.
Government Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvidence from various epidemiological and clinical studies suggests that iron overload is proinflammatory and proatherosclerotic. Excess body iron has been positively associated with insulin resistance, type 2 diabetes and obesity. AIM OF THE STUDY: To study the relationship of body iron stores with type 2 diabetes and obesity in middle aged North Indian population. MATERIALS AND

methodsThe participant population consisted of four groups of randomly selected participants (between 40 and 65 years of age and postmenopausal women); Group A: Normal individuals (controls), Group B: Obese nondiabetic individuals, Group C: Lean diabetic patients, Group D: Obese diabetic patients. Blood was examined for hematological, biochemical estimations, C-reactive protein, and serum ferritin (SF). OBSERVATION AND

resultsA total of 197 participants were enrolled. The mean SF levels (ng/ml) among males were: Group A (n = 18) 148.56 ± 119.90; Group B (n = 25) 129.11 ± 94.77; Group C (n = 27) 127.96 ± 109.65 and Group D (n = 22) 148.36 ± 104.94. The mean SF levels (ng/ml) among females were: Group A (n = 23) 67.44 ± 37.59; Group B (n = 25) 59.62 ± 43.56; Group C (n = 24) 77.97 ± 91.46 and Group D (n = 33) 66.46 ± 86.05. No statistical difference was found among the groups in both the sexes.

conclusionsOur observation is in sharp contrast to the earlier studies published from the West stressing that iron stores are increased in obesity and diabetes. We conclude that SF may not be a strong risk factor in the pathogenesis of obesity and diabetes in middle aged North Indians.

Indexed as

Diabetesobesityserum ferritin

Identifiers

PMID24970985
PMCPMC4071648
OpenAlexW1999711945

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.