Evidence map›Paper›PMID 25834588›Full record

ArticleHepatitis monthly2015

An index to predict ribavirin-induced anemia in asian patients with chronic genotype 1 hepatitis C.

Sheng-Hung Chen, Cheng-Yuan Peng, Hsueh-Chou Lai, Wen-Pang Su, Chia-Hsin Lin, Yu-Fen Li, Po-Heng Chuang, Ching-Hsiang Chen

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis monthly, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 9 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

8 authors at 3 institutions in 1 country.

Sheng-Hung ChenInstitute of Clinical Medical Science, School of Medicine, China Medical University, Taichung, Taiwan ; School of Medicine, China Medical University, Taichung, Taiwan ; Division of Hepatogastroenterology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Cheng-Yuan PengSchool of Medicine, China Medical University, Taichung, Taiwan ; Division of Hepatogastroenterology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Hsueh-Chou LaiInstitute of Clinical Medical Science, School of Medicine, China Medical University, Taichung, Taiwan ; Division of Hepatogastroenterology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan ; College of Chinese Medicine, China Medical University, Taichung, Taiwan.
Wen-Pang SuDivision of Hepatogastroenterology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Chia-Hsin LinDivision of Hepatogastroenterology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Yu-Fen LiInstitute of Biostatistics, China Medical University, Taichung, Taiwan.
Po-Heng ChuangDivision of Hepatogastroenterology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
Ching-Hsiang ChenDivision of Hepatogastroenterology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
China Medical University Hospital · TWChina Medical University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle-nucleotide polymorphisms (SNP) in the inosine triphosphate pyrophosphatase (ITPA) gene correlate with ribavirin (RBV)-induced anemia in patients with chronic hepatitis C (CHC) receiving combination therapy. Managing anemia is an early priority in the treatment process.

objectivesThe aim was to develop a predictive index based on ITPA SNP status to identify CHC patients at risk of anemia. PATIENTS AND

methodsA total of 418 eligible East Asian patients diagnosed with CHC genotype 1 (G1) received combination therapy in this study. Participant DNA was genotyped for a functional ITPA SNP (C/C, A/A or C/A) on chromosome 20 at rs1127354. A predictive index was constructed by incorporating independent factors identified for severe anemia events (hemoglobin < 10 g/dL). Areas under the receiver-operating characteristic curves (AUCs) represented the diagnostic accuracies of the predictive index in randomly assigned development and validation cohorts.

resultsMultiple logistic regressions identified age (≥ 50 y: OR = 9.7, 95% CI = 5.0 - 18.6), ITPA rs1127354 (C/C: OR = 3.3, 95% CI = 1.8 - 5.8) and baseline hemoglobin (< 14.0 g/dL: OR 6.4, 95% CI = 3.3 - 12.1; 14.0 - 14.9: OR = 2.4, 95% CI = 1.2 - 4.6) as predictors of severe anemia throughout the treatment. For severe anemia, the predictive index incorporating age, ITPA SNP status and baseline hemoglobin yielded diagnostic accuracies (AUCs) of 0.830 (95% CI = 0.783 - 0.871) in the development (n = 324) and 0.902 (0.826 - 0.925) in the validation (n = 81) cohorts.

conclusionsIn patients with CHC G1 and receiving combination therapy, ITPA SNP-based index was an accurate and practical solution for prediction of severe anemia.

Indexed as

AnemiaHepatitis CInosine TriphosphatePolymorphismRibavirin

Identifiers

PMID25834588
PMCPMC4377223
OpenAlexW2159954042

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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.