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Record W2531162824 · doi:10.4103/0366-6999.191760

Autoimmune Hepatitis-related Cirrhosis

2016· article· en· W2531162824 on OpenAlexfundno aff
Yanni Li, Huan Ma, Lu Zhou, Jie Zhang, Liping Guo, Shu-Qian Li, Yiqi Qian, Bangmao Wang

Bibliographic record

VenueChinese Medical Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaAlberta Innovates - Health Solutions
KeywordsAutoimmune hepatitisCirrhosisMedicineHepatitisImmunologyGastroenterologyVirology

Abstract

fetched live from OpenAlex

BACKGROUND: The long-term outcomes of patients with autoimmune hepatitis (AIH) given the immunosuppressive treatment are considered to be preferable. However, little is known about the response of AIH patients with cirrhosis to immunosuppressive treatment. We assessed the effects of immunosuppressive therapy in Chinese AIH patients with cirrhosis from a tertiary hospital. METHODS: Patients with a clinical diagnosis of AIH January 2000 and December 2015 were retrospectively reviewed. Two-hundred and fourteen patients who were followed up and satisfied the simplified AIH criteria were included in the study. Among these patients, 87 presented with cirrhosis when initially diagnosed for AIH. Immunosuppressive treatments were employed in 57 AIH patients who did not present with cirrhosis and 39 patients who presented with cirrhosis. Initial responses to immunosuppressive treatment of patients with and without cirrhosis were analyzed. Independent risk factors were assessed for predicting the prognosis of patients. The t-test and Cox regression statistical analysis were used. RESULTS: In total, 96 AIH patients including 39 with cirrhosis and 57 without cirrhosis underwent immunosuppressive therapy. The overall complete remission after initial immunosuppressive treatment was achieved in 81/96 patients (84.4%), whereas 9/96 (9.4%) achieved incomplete response, and 6/96 (6.3%) occurred treatment failure. Compared to noncirrhotic patients, patients who presented with cirrhosis responded to treatment to a comparable extent regarding complete response (noncirrhosis 50/57 [87.7%] vs. cirrhosis 31/39 [79.5%], P = 0.275), incomplete remission (noncirrhosis 4/57 [7.0%] vs. cirrhosis 5/39 [12.8%], P = 0.338), and treatment failure (noncirrhosis 3/57 [5.3%] vs. cirrhosis 3/39 [7.7%], P = 0.629). Importantly, the remission rate was comparable (54/57 [94.7%] and 36/39 [92.3%], P = 0.629) for noncirrhotic and cirrhotic patients after immunosuppressive therapy. Compared to patients who maintained remission (n = 19) after drug withdrawal, patients who experienced relapse (n = 17) had significantly higher levels of serum immunoglobulin G at entry (15.0 ± 6.5 g/L vs. 22.3 ± 5.8 g/L, t = 2.814, P = 0.004). Moreover, cirrhosis at presentation significantly increased the risk of disease exacerbation (hazard ratio [HR]: 4.603; P = 0.002). The treatment of immunosuppressant (HR: 0.058; P = 0.005) and the level of aspartate aminotransferase at presentation (HR: 1.002; P = 0.017) also increased the risk of disease progression. CONCLUSIONS: The efficacy of initial immunosuppressive treatment in AIH patients with cirrhosis is comparable to that in those without cirrhosis. Cirrhotic patients not treated by immunosuppressants have poor long-term outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.265
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2016
Admission routes1
Has abstractyes

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