Evidence map›Paper›PMID 24038226›Full record

ArticleJournal of clinical laboratory analysis2013

Does prolidase indicate worsening of hepatitis B infection?

Fazilet Duygu, Nurten Aksoy, Aysegul Copur Cicek, Ilknur Butun, Sebnem Unlu

Open access · bronzeAbstract read
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Article in Journal of clinical laboratory analysis, 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
0.5field-weighted citation impact, top 35% 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, 9 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

5 authors at 4 institutions in 2 countries.

Fazilet DuyguDepartment of Infectious Disease and Clinic Microbiology, Faculty of Medicine, Gaziosmanpasa University, Tokat, Turkey.
Nurten Aksoy
Aysegul Copur Cicek
Ilknur Butun
Sebnem Unlu
Tokat Gaziosmanpaşa Üniversitesi · TRHarran University · TRRecep Tayyip Erdoğan University · TRUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis B infection is a health problem that affects more than 400 million people all over the world. We aimed to evaluate the usability of prolidase enzyme that plays an important role in collagen synthesis. Prolidase levels increase in hepatic damage, which can be used as diagnostic parameters in the progressions to chronic hepatitis B (CHB) infection by evaluating it in different clinical forms of hepatitis B infection.

methodsA total of 69 patients who presented to our clinic with chronic hepatitis B (CHB) infection, 72 patients with inactive hepatitis B infection (IHB), and 45 healthy volunteers were included into this study. Alanine transaminase (ALT), Aspartate aminotransferase (AST) and prolidase levels of patients were measured. Hepatic biopsy was performed in patients with CHB infection. Prolidase levels were evaluated in three different groups, and its correlations with fibrosis were investigated.

resultsProlidase was different between all groups (P < 0.001). Prolidase level was found to be higher in CHB and IHB compared to the control group. There was no correlation between this enzyme, fibrosis, and histological activity index.

conclusionIn this present study, it is shown that prolidase levels increase in hepatitis B infection. It may be used as a biochemical marker in the chronic hepatitis B.

Indexed as

AdultAlanine TransaminaseAspartate AminotransferasesBiomarkersCollagenDipeptidasesDisease ProgressionFemaleHepatitis B, ChronicHumansLiverLiver CirrhosisMaleYoung AdultAlanine TransaminaseAspartate AminotransferasesBiomarkersCollagenDipeptidasesproline dipeptidasechronic hepatitis Binactive hepatitis Bprolidase

Identifiers

PMID24038226
PMCPMC6807447
OpenAlexW1946835819

What OpenQuestion holds

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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.