Evidence map›Paper›PMID 30405285›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2018

Diagnostic Usefulness of Serum Albumin as a Predictor of Diabetic Ketoacidosis.

Jayagowri Karthikeyan, Sujatha Rajaragupathy

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Jayagowri KarthikeyanDepartment of Biochemistry, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, India.
Sujatha RajaragupathyDepartment of Biochemistry, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, India.
PSG Institute of Medical Sciences & Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextDiabetes mellitus is one of the most prevalent diseases worldwide. One of the acute complications of diabetes mellitus is diabetic ketoacidosis. It becomes essential for the healthcare physicians to identify the individuals who are likely to be prone to the development of ketosis. Serum albumin levels may be a cost-effective and simple parameter to prognosticate the risk of ketosis.

aimsThis study was done to find a relationship between serum albumin levels and ketonuria. SETTINGS AND

designAfter ethical approval, this prospective case-control study was carried out in patients diagnosed as type-2 diabetes mellitus. SUBJECTS AND

methodsSerum albumin levels were measured by bromo cresol green method. Measurement of urine ketones was done manually using dipsticks, a semi-quantitative manual method. STATISTICAL ANALYSIS USED: Student's

resultsIn the normoalbuminemic group, 72% were ketones negative and only 28% had positive ketones in urine, while in the hypoalbuminemic group, 50.7% had negative urine ketones and 49.3% had positive ketonuria. The mean value for ketones in urine was 9.7 mg/dL in the hypoalbuminemic group, but it was only 4.3 mg/dL in the normoalbuminemic group. Pearson's correlation between serum albumin and urine ketone levels was performed and the

conclusionsSerum albumin levels may predict the occurrence of ketosis in diabetic patients.

Indexed as

Albumindiabetes mellitusketoacidosis

Identifiers

PMID30405285
PMCPMC6201645
OpenAlexW2896195496

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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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 Socratic graph.