Evidence map›Paper›PMID 21110173›Full record

ArticleChinese journal of integrative medicine2010

A preliminary study on the medical expenditure of Chinese medicine and integrative medicine treatment for influenza A (H1N1) in the fever clinics.

Chuan-jian Lu, Yi Luo, Hong Zhou, Xiao-lan Qin, Bo-jun Chen, Xue-chun Tang, Hua Deng, Zhao-hui Liang, Ai-hua Ou

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Article in Chinese journal of integrative medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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.

Chuan-jian LuGuangdong Provincial Hospital of Chinese Medicine, Guangzhou 510102, China. luchuanjian888@vip.sina.com
Yi Luo
Hong Zhou
Xiao-lan Qin
Bo-jun Chen
Xue-chun Tang
Hua Deng
Zhao-hui Liang
Ai-hua Ou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the effectiveness of Chinese medicine and integrated Chinese and Western medicine for influenza A (H1N1) in the fever clinics and its relevant expenditure.

methodsA prospective survey on the clinical epidemic observation and follow-up was conducted from July 2009 to October 2009 with a self-developed questionnaire whose contents including the clinical data of the confirmed 149 H1N1 cases and their relevant therapeutic expenditure. The patients were assigned to the Chinese medicine group (22 cases treated by Chinese medicine alone) and integrative medicine group (124 cases treated by both Chinese medicine and Western medicine). The data were processed with descriptive analysis, t test and χ (2), and sum-rank test.

resultsThe proportion of clinical recovery of Chinese medicine group (81.8%) was higher than that of integrative medicine group (54.8%) with statistical significance (P=0.02). The average fever durations in both groups were 3.5 to 4 days, showing no significant difference (P=0.86). In the comparisons of average cost of Chinese herbs, drugs, therapies, and total cost, those of the Chinese medicine group were lower than those in the integrative group (P=0.01, P=0.00, P=0.00, P=0.00).

conclusionsThe H1N1 patients in the fever clinic who received Chinese medicine treatment had a higher clinical recovery proportion than those who received integrated Chinese and Western medicine treatment with lower medical cost. However, due to small sample size of the Chinese medicine group in the study, the conclusion needs further confirmation by studies with large sample size.

Indexed as

Health ExpendituresAdultCosts and Cost AnalysisFemaleFeverHospitalsHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanIntegrative MedicineMaleMedicine, Chinese TraditionalTime FactorsTreatment Outcome

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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.