Evidence map›Paper›PMID 22057408›Full record

ReviewChinese journal of integrative medicine2011

A systematic analysis of the theory and practice of syndrome differentiation.

Man Fong Mei

Abstract readReview
PubMed Publisher
In one paragraph

Review in Chinese journal of integrative medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.5field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Adaption and application of the four phase trials to traditional chinese medicines.Evidence-based complementary and alternative medicine : eCAM · 2013
    Review
  13. Article
  14. Current situation and perspectives of clinical study in integrative medicine in china.Evidence-based complementary and alternative medicine : eCAM · 2012
    Article
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

1 author at 1 institution in 1 country.

Man Fong MeiChinese Medical Institute and Register (CMIR), 99-105 Camden High Street, London NW1 7JN, UK. mfm@acumedic.com
Institute of Dermatology · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syndrome differentiation is a methodology unique to Chinese medicine. It threads the diagnosis process with clinical treatment into a holistic web of links to determine and regulate the patterns of dysfunctions in the human body. It is seen as the essence of Chinese medicine because it takes into account the theoretical principles, diagnostic methodologies and the modality of treatment holistically. In this process the progressive development and changes of syndromes are also considered by the physician. This paper is a systematic study of the methodology of syndrome differentiation in relation to its clinical applications in the treatment of diseases. To illustrate the efficacy of syndrome differentiation, the relationship between pattern identification and diseases is analysed to provide a guiding principle for integration between Chinese medicine and Western medicine. Diseases being selected include cancer, cardiovascular and metabolic syndromes. A study of renal and hepatic diseases related to lifestyle is also included to highlight the clinical efficacy of syndrome differentiation. The paper also includes an analytical summary of the theoretical advancements made in integrative differentiation methodology during the past five decades which links to the recent clinical thinking and practice.

Indexed as

Diagnosis, DifferentialHumansInternal MedicineMedicine, Chinese TraditionalMetabolic SyndromeSyndrome

Identifiers

PMID22057408
OpenAlexW2007606472

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.