Evidence map›Paper›PMID 27917265›Full record

ArticleWorld journal of hepatology2016

Novel non-invasive biological predictive index for liver fibrosis in hepatitis C virus genotype 4 patients.

Mahmoud Khattab, Mohamed Amin Sakr, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ashraf Breedy, Mona Fathi, Salwa Gaber, Ahmed Altaweil, Ashraf Osman and 2 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of hepatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 3 institutions in 2 countries.

Mahmoud KhattabMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Mohamed Amin SakrMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Mohamed Abdel FattahMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Youssef MousaMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Elwy SolimanMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Ashraf BreedyMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Mona FathiMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Salwa GaberMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Ahmed AltaweilMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Ashraf OsmanMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Ahmed HassounaMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Ibrahim MotaweaMahmoud Khattab, Mohamed Abdel Fattah, Youssef Mousa, Elwy Soliman, Ibrahim Motawea, Department of Internal Medicine, Minia University, Minia 61111, Egypt.
Minia University · EGAin Shams University · EGCreative Research Enterprises (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the diagnostic ability of a non-invasive biological marker to predict liver fibrosis in hepatitis C genotype 4 patients with high accuracy.

methodsA cohort of 332 patients infected with hepatitis C genotype 4 was included in this cross-sectional study. Fasting plasma glucose, insulin, C-peptide, and angiotensin-converting enzyme serum levels were measured. Insulin resistance was mathematically calculated using the homeostasis model of insulin resistance (HOMA-IR).

resultsFibrosis stages were distributed based on Metavir score as follows: F0 = 43, F1 = 136, F2 = 64, F3 = 45 and F4 = 44. Statistical analysis relied upon reclassification of fibrosis stages into mild fibrosis (F0-F) = 179, moderate fibrosis (F2) = 64, and advanced fibrosis (F3-F4) = 89. Univariate analysis indicated that age, log aspartate amino transaminase, log HOMA-IR and log platelet count were independent predictors of liver fibrosis stage (

conclusionOur predictive model is easily available and reproducible, and predicted liver fibrosis with acceptable accuracy.

Indexed as

AgeAspartate amino transaminaseInsulin resistanceLiver fibrosisPlatelets

Identifiers

PMID27917265
PMCPMC5114475
OpenAlexW2556965714

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.