Evidence map›Paper›PMID 23431348›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2013

Xiaoqinglong granules as add-on therapy for asthma: latent class analysis of symptom predictors of response.

Qinglin Zha, Seqi Lin, Chi Zhang, Christopher Chang, Hanrong Xue, Cheng Lu, Miao Jiang, Yan Liu, Zuke Xiao, Weiyou Liu and 4 more

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2013. 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
–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

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.

  1. Mechanism of action of M-XQLD treatment for asthma: role of STARD13 in Th17 suppression.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Article
  2. Xiaoqinglong Decoction Protects the Lungs of AECOPD Mice through the AMPK/mTOR Signaling Pathway.Evidence-based complementary and alternative medicine : eCAM · 2020
    Article
  3. Article
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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

14 authors.

Qinglin ZhaSchool of Computer, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China.
Seqi Lin
Chi Zhang
Christopher Chang
Hanrong Xue
Cheng Lu
Miao Jiang
Yan Liu
Zuke Xiao
Weiyou Liu
Yunfei Shang
Jianjian Chen
Minyong Wen
Aiping Lu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xiaoqinglong granules (XQLG) has been shown to be an effective therapy in asthma animal models. We reviewed the literature and conducted this study to assess the impact of XQLG as an add-on therapy to treatment with fluticasone/salmeterol (seretide) in adult patients with mild-to-moderate, persistent asthma. A total of 178 patients were randomly assigned to receive XQLG and seretide or seretide plus placebo for 90 days. Asthma control was assessed by asthma control test (ACT), symptoms scores, FEV(1), and PEF. Baseline patient-reported Chinese medicine (CM)-specific symptoms were analyzed to determine whether the symptoms may be possible indicators of treatment response by conducting latent class analysis (LCA). There was no statistically significant difference in ACT score between two groups. In the subset of 70 patients with symptoms defined by CM criteria, XQLG add-on therapy was found to significantly increase the levels of asthma control according to global initiative for asthma (GINA) guidelines (P = 0.0329). There was no significant difference in another subset of 100 patients with relatively low levels of the above-mentioned symptoms (P = 0.1291). Results of LCA suggest that patients with the six typical symptoms defined in CM may benefit from XQLG.

Identifiers

PMID23431348
PMCPMC3574648

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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.