Evidence map›Paper›PMID 36169875›Full record

SynthesisChinese journal of integrative medicine2022

Current Status of Objectification of Four Diagnostic Methods on Constitution Recognition of Chinese Medicine.

Cong-Cong Li, Xin-Sheng Yan, Ming-Hao Liu, Gui-Fa Teng

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Chinese journal of integrative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. 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

4 authors.

Cong-Cong LiSchool of Information Science and Technology, Hebei Agricultural University, Baoding, Hebei Province, 071001, China.
Xin-Sheng YanSchool of Information Science and Technology, Hebei Agricultural University, Baoding, Hebei Province, 071001, China.
Ming-Hao LiuSchool of Information Science and Technology, Hebei Agricultural University, Baoding, Hebei Province, 071001, China.
Gui-Fa TengSchool of Information Science and Technology, Hebei Agricultural University, Baoding, Hebei Province, 071001, China. tguifa@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese medicine (CM) has thousands of years of experience in prevention of diseases. As for CM, people's constitution is closely related to their health status, thus recognition of CM constitution is the fundamental and core content of research on constitution types. With development of technologies such as sensors, artificial intelligence and big data, objectification of the four diagnostic methods of CM has gradually matured, bringing changes in the mindset and innovations in technical means for recognition of CM constitution. This paper presents a systematic review of the latest research trends in constitution recognition based on objectification of diagnostic methods in CM.

Indexed as

Artificial IntelligenceMedicine, Chinese TraditionalBody ConstitutionHealth StatusHumansChinese medicine constitution recognitiondeep learningfour diagnostic methodsmachine learningobjectification

Identifiers

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.