Evidence map›Paper›PMID 27895925›Full record

ArticleBMC obesity2016

Somatic neural alterations in non-diabetic obesity: a cross-sectional study.

Ram Lochan Yadav, Deepak Sharma, Prakash Kumar Yadav, Dev Kumar Shah, Kopila Agrawal, Rita Khadka, Md Nazrul Islam

Open access · hybridAbstract read
In one paragraph

Article in BMC obesity, 2016. 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 24% 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, 16 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

7 authors at 2 institutions in 1 country.

Ram Lochan YadavDepartment of Physiology, Chitwan Medical College, Bharatpur, Nepal.ORCID 0000-0001-6639-1620
Deepak SharmaDepartment of Physiology, Chitwan Medical College, Bharatpur, Nepal.
Prakash Kumar YadavDepartment of Physiology, Chitwan Medical College, Bharatpur, Nepal.
Dev Kumar ShahDepartment of Physiology, Chitwan Medical College, Bharatpur, Nepal.
Kopila AgrawalDepartment of Physiology, BP Koirala Institute of Health Sciences, Dharan, Nepal.
Rita KhadkaDepartment of Physiology, BP Koirala Institute of Health Sciences, Dharan, Nepal.
Md Nazrul IslamDepartment of Physiology, Chitwan Medical College, Bharatpur, Nepal.
Chitwan Medical College · NPB.P. Koirala Institute of Health Sciences · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReports on alterations in somatic neural functions due to non-diabetic obesity, a major risk factor for diabetes, are few and still a matter of debate. Nevertheless, to our knowledge, reports lack any comments on the type of somatic nerve fibers affected in non-diabetic obesity. Therefore, this study aimed to find out the alteration in somatic neural functions in non-diabetic obese persons if any.

methodsThe study was conducted on 30 adult non-diabetic obese persons (mean age 32.07 ± 7.25 years) with BMI > 30 Kg/m

resultsIn comparison to normal weight persons, obese had lower compound muscle action potential (CMAP) amplitudes of right median [9.09(7.62-10.20) Vs 10.75(8.71-12.2) mV,

conclusionThis study documents subclinical peripheral nerve damage in non-diabetic obese with abnormal NCS parameters; shorter amplitudes and prolonged CMAP and SNAP durations. The reduced amplitudes of mixed and sensory nerves might be due to decreased axonal number stimulation or actual decrease in number of axonal fibers, or defect at NMJ in non-diabetic obese. Prolonged durations but normal onset latencies and conduction velocities strongly suggest involvement of slow conducting fibers.

Indexed as

BMINerve conduction studyNon-diabetic obesitySomatic neuronal functions

Identifiers

PMID27895925
PMCPMC5120424
OpenAlexW2556471449

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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.