Evidence map›Paper›PMID 23818200›Full record

ArticleChinese journal of integrative medicine2013

Methodological approaches to developing and establishing the body of evidence on post-marketing Chinese medicine safety.

Xing Liao, Nicola Robinson

Abstract read
PubMed Publisher
In one paragraph

Article in Chinese journal of integrative medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
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

2 authors.

Xing LiaoInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Nicola Robinson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence based medicine demands the highest form of scientific evidence to demonstrate the efficacy and clinical effectiveness for any therapeutic intervention in order to provide best care. It is however accepted that in the absence of scientific evidence, personal experience and expert opinion together with professional judgement are critical. Obtaining evidence for drug safety, postmarketing surveillance (PMS) has focussed on follow up of observational cohorts exposed to a particular drug in order to estimate the incidence of adverse drug reactions (ADRs). Evidence on PMS of Chinese herbal products is still limited, in particular for herbal injections. The aim of this article is to suggest a new model of ascertaining the safety of Chinese medicine using a more comprehensive approach for collecting data. To collect safety data on the Chinese herbal injection, Kudiezi, a mixed methods approach is proposed using 18 hospital information systems to detect ADRs in order to prospectively observe 30,000 patients over 3 years. Evidence will also be collected using a questionnaire survey and through a sample of semi structured interviews. This information based on the expert opinion and the experience of clinicians will produce additional data on the frequency and types of side effects in clinical practice. Furthermore semi structured interviews with a random sample of patients receiving the injection will be carried out to ascertain any potential side effects missed. It is hoped that this comprehensive approach to data collection will accumulate wider evidence based on individual traditional Chinese medicine care and treatment and provide important feedback to the national data collection system to ensure completeness of ADR data recording, monitoring and any potential wider effects through developing improved ADR guidelines.

Indexed as

Evidence-Based MedicineHumansMedicine, Chinese TraditionalProduct Surveillance, Postmarketing

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.