İçeriğe geç
akaturk Akademik ölçüm

Makale detayı · 2017 · article

Noninvasive Models to Predict Liver Fibrosis in Patients with Chronic Hepatitis B: A Study from Turkey

ISSN1735-143X
YÖKSİS OpenAlex Açık erişim · hybrid
Yıl2017
Atıf7OpenAlex
Yüzdelik%67,0
FWCI0,51,00 = dünya ortalaması
Scopus (SJR)Q2
WoS (JCR)Q4

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıHepatitis Monthly
  • Katalog eşleşmesi (ISSN)Hepatitis Monthly
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex İngilizce

Background: Many noninvasive methods, including aspartate amino transaminase (AST)/alanine amino transaminase (ALT) ratio (AAR), AST-to-platelet ratio index (APRI), Bonacini cirrhosis discriminant score (CDS), fibrosis-4 (FIB4) index, and age-platelet index (API), have been described to determine the stage of hepatic fibrosis. However, these methods are developed for patients with chronic hepatitis C (CHC) and produce conflicting results in the prediction of liver fibrosis in patients with chronic hepatitis B (CHB). Objectives: The aim of this study was to evaluate the relationship between 7 noninvasive models, including AAR, APRI, CDS, API, FIB-4, neutrophil-to-lymphocyte ratio (NLR), and red cell distribution width (RDW)-to-platelet ratio (RPR) in patients with CHB. Methods: The study population included all patients with CHB, undergoing liver biopsy to determine HBsAg and HBV DNA positivity in more than 6 months. Results: A total of 2520 treatment-naive CHB patients from 40 different centers were included in the study. In total, 62.6% of the patients were male, and the mean age was 40.60 ± 12.34 years (minimum, 18 years; maximum, 77 years). The Ishak fibrosis score was ≥ 3 in 29.8% of the patients, indicating significant fibrosis. The mean API, APRI, CDS, NLR, FIB4, and RPR scores in the noninvasive models were significantly different between the groups with significant and low fibrosis (P < 0.05). All the noninvasive models (API, APRI, AAR, CDS, NLR, RPR, and FIB4) were found to be significant in the discrimination of cirrhosis (P < 0.05). In the multiple logistic regression analysis, CDS, albumin, alkaline phosphatase (ALP), total bilirubin, neutrophil count, NLR, mean platelet volume (MPV), and FIB4 were independent indices for cirrhosis. Conclusions: In the present study, the role of noninvasive tests in the prediction of liver fibrosis stage and cirrhosis was evaluated in a large cohort of CHB patients. Overall, noninvasive models are gradually becoming more promising. Accordingly, the need for liver biopsy can be reduced with a combination of noninvasive methods in the future.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

7atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 2 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2024 The contribution of imaging to non-invasive fibrosis biomarkers in the diagnosis and staging of chronic liver diseaseAtıf 0 · OpenAlex
  2. 2024 The contribution of imaging to non-invasive fibrosis biomarkers in the diagnosis and staging of chronic liver diseaseAtıf 0 · OpenAlex

Yazarlar

51
  1. PINAR KORKMAZ KÜTAHYA SAĞLIK BİLİMLERİ ÜNİVERSİTESİ 1
  2. NEŞE DEMİRTÜRK AFYONKARAHİSAR SAĞLIK BİLİMLERİ ÜNİVERSİTESİ 2
  3. AYŞE BATIREL 3
  4. AHMET CEM YARDIMCI 4
  5. ÜNAL ÇAĞIR 5
  6. SALİH ATAKAN NEMLİ 6
  7. FATİME KORKMAZ 7
  8. FÜSUN ZEYNEP AKÇAM SÜLEYMAN DEMİREL ÜNİVERSİTESİ 8
  9. HÜSEYİN ŞENER BARUT 9
  10. BURCU BAYRAK 10
  11. FARUK KARAKEÇİLİ 11
  12. HÜSEYİN TARAKÇI 12
  13. ZERRİN YULUĞKURAL TRAKYA ÜNİVERSİTESİ 13
  14. ESMA YÜKSEL 14
  15. NAZLIM AKTUĞ DEMİR 15
  16. ONUR URAL SELÇUK ÜNİVERSİTESİ 16
  17. ŞUA SÜMER SELÇUK ÜNİVERSİTESİ 17
  18. REZAN HARMAN 18
  19. AYTEN KADANALI BİRUNİ ÜNİVERSİTESİ 19
  20. ÖZTÜRK SİNAN 20
  21. SILA AKHAN 21
  22. NECLA EREN TÜLEK 22
  23. DERYA KETEN 23
  24. ALPER ŞENER 24
  25. BİLGEHAN AYGEN ERCİYES ÜNİVERSİTESİ 25
  26. AYSEL KOCAGÜL ÇELİKBAŞ 26
  27. FATMA YILMAZ KARADAĞ 27
  28. GÜLE AYDIN 28
  29. ARSLAN EYÜP 29
  30. CAHİDE SAÇLIGİL 30
  31. GÜLFEM AKENGİN ÖCAL 31
  32. ALPASLAN TANOĞLU BAHÇEŞEHİR ÜNİVERSİTESİ 32
  33. ASIM ÜLÇAY 33
  34. ERGENEKON KARAGÖZ 34
  35. NEŞE SALTOĞLU İSTANBUL ÜNİVERSİTESİ-CERRAHPAŞA 35
  36. FATMA SIRMATEL 36
  37. HAYRETTİN AKDENİZ 37
  38. AYNIOĞLU AYNUR 38
  39. SERCAN ASLAN ÖZEL 39
  40. SELMİN DİRGEN ÇAYLAK 40
  41. İLHAMİ ÇELİK SAĞLIK BİLİMLERİ ÜNİVERSİTESİ 41
  42. YEŞİM ÇAĞLAR 42
  43. ZEHRA DURSUN BEŞTEPE 43
  44. MUHAMMED BEKÇİBAŞI 44
  45. GÜNAY TUNCER ERTEM 45
  46. TIĞLI ARZU 46
  47. ELİF SARGIN ALTUNOK 47
  48. KEMAL AVŞAR 48
  49. KAYA SUER 49
  50. MURAT SAYAN 50
  51. NECLA TÜLEK ATILIM ÜNİVERSİTESİ 51