Evidence map›Paper›PMID 17999185›Full record

ArticleDigestive diseases and sciences2008

Serum prolidase and IGF-1 as non-invasive markers of hepatic fibrosis during four different periods after bile-duct ligation in rats.

Orhan Tarçin, Nursal Gedik, Berna Karakoyun, Veysel Tahan, Gagan Sood, Ciğdem Celikel, Nurdan Tözün

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In one paragraph

Article in Digestive diseases and sciences, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 11 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 3 institutions in 2 countries.

Orhan TarçinDivision of Gastroenterology, Gümüşsuyu Military Hospital, Istanbul, Turkey. ortarcin@hotmail.com
Nursal Gedik
Berna Karakoyun
Veysel Tahan
Gagan Sood
Ciğdem Celikel
Nurdan Tözün
Marmara University · TRLokman Hekim Üniversitesi · TRThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimOur aim was to study the correlation of serum prolidase and insulin like growth factor-1 to liver collagen and assess their utility as markers of fibrosis during four different periods of hepatic injury and fibrosis after bile-duct ligation in rats.

methodsForty-eight Wistar albino rats were included in the study and divided into six groups. Seven rats served as the control group (Control), while seven rats had a sham operation (Sham group). Thirty-four rats underwent bile-duct ligation. Bile-duct ligated (BDL) animals were sacrificed at the end of the first week (Group 1; n = 8), second week (Group 2; n = 8), third week (Group 3; n = 9), or fourth week (Group 4; n = 9) after BDL. Liver collagen, liver prolidase, and serum prolidase and IGF-I, were determined.

resultsThere was a positive correlation between liver collagen and serum prolidase (r(s): 0.843, P < 0.001) levels and a negative correlation among liver collagen and serum IGF-1 levels (r(s): -0.667, P < 0.001). The peak levels of liver collagen and serum prolidase were reached in the third week while the lowest levels of IGF-1 were found at the end of the third week.

conclusionSerum prolidase and IGF-1 either independently or in combination correlate with liver collagen content in hepatic fibrosis.

Indexed as

AnimalsBile DuctsBiomarkersDipeptidasesInsulin-Like Growth Factor ILigationLiver CirrhosisMaleRatsRats, WistarRegression AnalysisStatistics, NonparametricBiomarkersDipeptidasesInsulin-Like Growth Factor Iproline dipeptidase

Identifiers

PMID17999185
OpenAlexW2142585353

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.