Evidence map›Paper›PMID 31474797›Full record

ArticleAnnals of gastroenterology

Liver fibrosis staging with combination of APRI and FIB-4 scoring systems in chronic hepatitis C as an alternative to transient elastography.

Nikolaos Papadopoulos, Sofia Vasileiadi, Maria Papavdi, Eirini Sveroni, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 51 citations in OpenAlex.

  1. Impact of sleeve gastrectomy on the course of metabolic associated fatty liver disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Noninvasive Fibrosis Assessment in Chronic Hepatitis C Infection: An Update.Journal of clinical and translational hepatology · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT images.International journal of computer assisted radiology and surgery · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 1 institution in 1 country.

Nikolaos Papadopoulos1 Department of Internal Medicine, 417 Army Share Fund Hospital of Athens (Nikolaos Papadopoulos, Eirini Sveroni).
Sofia VasileiadiHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
Maria PapavdiHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
Eirini Sveroni1 Department of Internal Medicine, 417 Army Share Fund Hospital of Athens (Nikolaos Papadopoulos, Eirini Sveroni).
Pinelopi AntonakakiHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
Erminia DellaportaHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
Evangelia KoutliHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
Stavroula MichaleaHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
Spilios ManolakopoulosHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
John KoskinasHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
Melanie DeutschHippokration General Hospital, Athens, Greece, 2 Academic Department of Internal Medicine, National and Kapodistrian University of Athens (Sofia Vasileiadi, Maria Papavdi, Pinelopi Antonakaki, Erminia Dellaporta, Evangelia Koutli, Stavroula Michalea, Spilios Manolakopoulos, John Koskinas, Melanie Deutsch).
Eginition Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiver disease severity must be determined before treatment of chronic hepatitis C (CHC). We evaluated the diagnostic performance of the APRI and FIB-4 scores compared to transient elastography liver stiffness (TE-LS) in detecting significant fibrosis (F3) or cirrhosis (F4).

methodsWe retrospectively enrolled 575 patients with CHC who underwent TE-LS between May 2014 and September 2018: 365 (63.5%) male, mean age 51.54±12.4 years. APRI and FIB-4 scores were compared to TE-LS.

resultsOne hundred patients (17.5%) had TE-LS values between 9 and 11.9 kPa, and were classified as F3, while 265 (46%) were classified as F4 (TE-LS ≥12 kPa). APRI and FIB-4 scores predicted F4 patients adequately using cutoff values of 0.65 (sensitivity 85.5%, specificity 77%) and 1.63 (sensitivity 91%, specificity 77%), respectively. Cutoff values of 0.64 for APRI and 1.46 for FIB-4 predicted F3/F4 patients (sensitivity 72% and 81.5%; specificity 83% and 79%, respectively). The use of these cutoff values with APRI and FIB-4 in combination adequately predicted patients with significant fibrosis or cirrhosis (positive predictive value 91.5%), while cutoff values of 0.3 and 0.98, respectively, predicted F1/F2 patients with specificity 94.5% and sensitivity 26.5%, suggesting that in 58.5% of patients TE-LS could possibly be avoided.

conclusionsThe APRI/FIB-4 combination performed well in predicting significant fibrosis, while FIB-4 performed well in predicting cirrhosis. These noninvasive biochemical markers could be used as screening tools instead of LS measurement, which is not widely available. Further prospective validation studies are required to confirm this finding.

Indexed as

APRIAPRI-FIB-4-COMBOChronic hepatitis CcirrhosisFIB-4fibrosistransient elastography

Identifiers

PMID31474797
PMCPMC6686098
OpenAlexW2963085893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.