Evidence map›Paper›PMID 34076844›Full record

ArticleBiological trace element research2022

Serum Elemental Analysis of Type 2 Diabetes Patients Using SRXRF.

N Srinivasa Rao, G J Naga Raju, M K Tiwari, B G Naidu, P Sarita

Abstract read
PubMed Publisher
In one paragraph

Article in Biological trace element research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

5 authors at 3 institutions in 1 country.

N Srinivasa RaoDepartment of Physics, GIS, GITAM Deemed To Be University, Visakhapatnam, 530045, India.
G J Naga RajuDepartment of Physics, UCEV- JNTUK, Vizianagaram, 535003, India.ORCID http://orcid.org/0000-0002-5937-7422
M K TiwariX-Ray Optics Section, Indus Synchrotron Utilization Division, RRCAT, Indore, 452013, India.ORCID http://orcid.org/0000-0001-5143-1423
B G NaiduDepartment of Physics, GIS, GITAM Deemed To Be University, Visakhapatnam, 530045, India.ORCID http://orcid.org/0000-0003-0436-3290
P SaritaDepartment of Physics, GIS, GITAM Deemed To Be University, Visakhapatnam, 530045, India. spadala3@gitam.edu.ORCID http://orcid.org/0000-0002-6404-6759
GITAM University · INJawaharlal Nehru Technological University, Kakinada · INRaja Ramanna Centre for Advanced Technology · IN

Funding

UGC-DAE Consortium for Scientific Research, University Grants Commission CSR-IC-BL-60/CRS-177/2016-17/841
6 · The paper itself

Abstract

A total of 158 serum samples of newly diagnosed type 2 diabetes patients and control subjects were analyzed using Synchrotron Radiation X-ray Fluorescence (SRXRF) technique. The microprobe XRF beam line-16 of Indus-2 synchrotron radiation facility at Raja Ramanna Centre for Advanced Technology (RRCAT), Indore, India, was used to identify and quantify the elements K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Br, Rb, Sr, and Pb. A significant decrease in the mean concentrations of K, Ca, Ti, Cr, Mn, Ni, Zn, and As and an increase in the concentrations of V, Fe, Co, Cu, Se, and Pb were observed in the serum samples of the patient group when compared to the control group. It is hypothesized that the observed alterations in the elemental concentrations might have led to ineffective uptake of insulin and have interfered with glucose homeostasis by either directly or indirectly causing oxidative stress.

Indexed as

Diabetes Mellitus, Type 2Trace ElementsFluorescenceHumansIndiaSynchrotronsX-RaysTrace ElementsDiabetes mellitusElemental concentrationsSRXRFType 2 diabetes

Identifiers

PMID34076844
OpenAlexW3164947012

What OpenQuestion holds

Textmetadata
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.