Evidence map›Paper›PMID 24082729›Full record

ArticleJournal of natural science, biology, and medicine2013

Quantitative estimation of sodium, potassium and total protein in saliva of diabetic smokers and nonsmokers: A novel study.

Basavaraj Kallapur, Karthikeyan Ramalingam, Bastian, Ahmed Mujib, Amitabha Sarkar, Sathya Sethuraman

Open access · diamondAbstract read
In one paragraph

Article in Journal of natural science, biology, and medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 40 citations in OpenAlex.

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  8. The dynamics of SARS-CoV-2 infectivity with changes in aerosol microenvironment.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

6 authors at 3 institutions in 1 country.

Basavaraj KallapurDepartment of Oral Pathology and Oral Biology, Al-jabal Al-gharbi University, Gharian, Libya.
Karthikeyan Ramalingam
Bastian
Ahmed Mujib
Amitabha Sarkar
Sathya Sethuraman
Rajasthan Dental College and Hospital · INBapuji Dental College and Hospital · INKamineni Institute of Dental Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of the study was to evaluate the difference in sodium, potassium, total protein in whole saliva in diabetic smokers, diabetic nonsmokers and healthy controls. MATERIALS AND

methodsNonstimulated saliva samples were collected from a group of diabetic smokers, diabetic nonsmokers, and controls. Supernatant after centrifugation was used to determine the levels of sodium, potassium, and total protein by using semiautomatic analyzer.

resultsThere exists a statistical difference in the levels of potassium and total protein between diabetic smokers, nondiabetic smokers, and controls. Difference in the levels of sodium is only significant with nondiabetic smokers and controls.

conclusionDiabetes mellitus is known to alter the composition of saliva. The purpose of this study was to estimate and compare the levels of salivary potassium, sodium, and total protein in smoker diabetic patients and nondiabetic smokers and controls, and to explore potential of salivary electrolytes [Na+, K+] and total proteins as markers. The estimated values of salivary constituents add to the data already recorded in Indian population. However, further studies using large samples are required to evaluate the findings in our study.

Indexed as

Diabetespotassiumsalivasmokingtotal protein

Identifiers

PMID24082729
PMCPMC3783777
OpenAlexW1991953568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.