Evidence map›Paper›PMID 22690243›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2012

Interleukin-10 genotype correlated to deficiency syndrome in hepatitis B cirrhosis.

Qing-Ya Li, Zhi-Zhong Guo, Jian Liang, Wei Zhang, Lie-Ming Xu, Yue-Qiu Gao, Xiao-Su Wang, Dong-Ying Xue, Shi-Bing Su

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In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2012. 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
2.1field-weighted citation impact, top 14% 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, 15 citations in OpenAlex.

  1. ZHENG-Omics Application in ZHENG Classification and Treatment: Chinese Personalized Medicine.Evidence-based complementary and alternative medicine : eCAM · 2013
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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

9 authors at 7 institutions in 1 country.

Qing-Ya LiResearch Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, China.
Zhi-Zhong Guo
Jian Liang
Wei Zhang
Lie-Ming Xu
Yue-Qiu Gao
Xiao-Su Wang
Dong-Ying Xue
Shi-Bing Su
Shanghai University of Traditional Chinese Medicine · CNShuguang Hospital · CNCentral Hospital of Putuo District · CNGuangxi University · CNHenan University of Traditional Chinese Medicine · CNLonghua Hospital Shanghai University of Traditional Chinese Medicine · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM) syndrome is an important basis for TCM diagnosis and treatment. As Child-Pugh classification as well as compensation and decompensation phase in liver cirrhosis, it is also an underlying clinical classification. In this paper, we investigated the correlation between single nucleotide polymorphisms (SNPs) of Interleukin-10 (IL-10) and TCM syndromes in patients with hepatitis B cirrhosis (HBC). Samples were obtained from 343 HBC patients in China. Three SNPs of IL-10 (-592A/C, -819C/T, and -1082A/G) were detected with polymerase chain-reaction-ligase detection reaction (PCR-LDR). The result showed the SNP-819C/T was significantly correlated with Deficiency syndrome (P = 0.031), but none of the 3 loci showed correlation either with Child-Pugh classification and phase in HBC patients. The logistic regression analysis showed that the Excess syndrome was associated with dizzy and spider nevus, and the Deficiency syndrome was associated with dry eyes, aversion to cold, IL-10-819C/T loci, and IL-10-1082A/G loci. The odds ratio (OR) value at IL-10-819C/T was 4.022. The research results suggested that IL-10-819C/T locus (TC plus CC genotype) is probably a risk factor in the occurrence of Deficiency syndrome in HBC patients.

Identifiers

PMID22690243
PMCPMC3368439
OpenAlexW2072839867

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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.