Evidence map›Paper›PMID 23869304›Full record

ArticleIndian journal of endocrinology and metabolism2013

Assessment of adrenal function in liver diseases.

Sandeep Kharb, M K Garg, Pankaj Puri, Bhaskar Nandi, Karninder S Brar, Abhay Gundgurthi, Aditi Pandit

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of endocrinology and metabolism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 21 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 1 institution in 1 country.

Sandeep KharbDepartment of Endocrinology, Army Hospital (R&R), Delhi Cantonment, India.
M K Garg
Pankaj Puri
Bhaskar Nandi
Karninder S Brar
Abhay Gundgurthi
Aditi Pandit
Army Hospital Research and Referral · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent times, there are reports of adrenal dysfunction in whole spectrum of liver disease. Adrenal insufficiency (AI) has been shown to correlate with progression of liver disease. Hence this study was conducted to assess adrenal function in subjects with acute liver disease (ALD), chronic liver disease (CLD) and post liver transplantation (LT). MATERIAL AND

methodsThis study included 25 healthy controls, 25 patients of ALD, 20 subjects of CLD with Child-Pugh stage A (CLD-1) and 30 with Child-Pugh stage B or C (CLD-2), and 10 subjects with LT. All subjects were assessed clinically, biochemically and for adrenal functions.

resultsAI was present in 9 (34.6%) patients with ALD, 20 (40%) patients with CLD and 4 (40%) in subjects with LT. AI was more common in CLD-2 (18 patients - 60%) than CLD-1 (2 patients - 10%). All patients with chronic liver disease had significantly lower basal cortisol (8.8±4.8, P=0.01), stimulated cortisol (18.2±6.3, P <0.00001) and incremental cortisol (9.4±4.6, P <0.00001) as compared to controls. There was increase in percentage of subjects with adrenal dysfunction with progression of liver disease as assessed by Child-Pugh staging. AI was predicted by lower levels of serum protein, serum albumin, total cholesterol and HDL cholesterol and higher levels of serum bilirubin and INR. Adrenal functions showed recovery following liver transplantation.

conclusionsAI forms important part of spectrum of acute and chronic liver disease. Deterioration of synthetic functions of liver disease predicts presence of AI, and these patients should be evaluated for adrenal dysfunction periodically.

Indexed as

Acute liver diseaseadrenal insufficiencychronic liver diseasecortisolliver transplantation

Identifiers

PMID23869304
PMCPMC3712378
OpenAlexW2088461257

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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.