Evidence map›Paper›PMID 39735418›Full record

ArticleBiologics : targets & therapy2024

Mapping of Subjective Measurements in Traditional Chinese Medicine to Objective Clinical Endpoints in Western Medicine.

Yinuo Zhang, Shein-Chung Chow

Abstract read
In one paragraph

Article in Biologics : targets & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Yinuo ZhangDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Shein-Chung ChowDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The translation of traditional Chinese medicine (TCM), which is experience-based, into evidence-based frameworks of Western medicine poses significant challenges due to differences in conceptualization, diagnosis, and evaluation methodologies. A critical need exists to bridge these disparities to enhance the integration of TCM into modern medical practices. Methods: This study proposes a novel statistical methodology, leveraging confidence interval-based mapping, to calibrate subjective TCM diagnostic outcomes (eg, instruments or questionnaires) with objective Western clinical endpoints (eg, analytical test results). A quantitative mapping formula was developed to determine TCM diagnostic cutoff values based on the concept of confidence intervals, aligning them with Western clinical standards. The methodology was rigorously evaluated using clinical trial simulations. Results: Simulation results demonstrated that the proposed method enhances the accuracy and consistency of diagnostic calibration. Furthermore, it effectively addresses potential misclassification issues, thereby improving the reliability of aligning TCM diagnostic outcomes with Western clinical endpoints. Discussion: The findings underscore the potential of this methodology to refine the calibration process between TCM and Western medicine. This approach provides a pathway for integrating TCM into evidence-based practices, contributing to the modernization of traditional medical systems.

Indexed as

confidence intervalsdiagnostic calibrationmisclassificationstatistical methodologytraditional Chinese medicinewestern medicine

Identifiers

PMID39735418
PMCPMC11681812

What OpenQuestion holds

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Registered trials

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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.