Evidence map›Paper›PMID 36248421›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Traditional Chinese Medicine Syndromes are Associated with Driver Gene Mutations and Clinical Characteristics in Patients with Lung Adenocarcinoma.

Jili Yang, Haiyan Lu, Niancai Jing, Bo Wang, Huanyu Guo, Shoukun Sun, Yue Zhang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. 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
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Jili YangDepartment of Integrative Medicine, Jilin Provincial Cancer Hospital, Changchun 130012, China.ORCID https://orcid.org/0000-0001-5401-2136
Haiyan LuChangchun University of Traditional Chinese Medicine, Changchun 130117, China.
Niancai JingDepartment of Integrative Medicine, Jilin Provincial Cancer Hospital, Changchun 130012, China.
Bo WangDepartment of Integrative Medicine, Jilin Provincial Cancer Hospital, Changchun 130012, China.
Huanyu GuoDepartment of Integrative Medicine, Jilin Provincial Cancer Hospital, Changchun 130012, China.
Shoukun SunDepartment of Integrative Medicine, Jilin Provincial Cancer Hospital, Changchun 130012, China.
Yue ZhangDepartment of Integrative Medicine, Jilin Provincial Cancer Hospital, Changchun 130012, China.ORCID https://orcid.org/0000-0001-8737-2373
Changchun University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the associations between traditional Chinese medicine (TCM) syndromes and driver gene mutations as well as the clinical characteristics of patients with lung adenocarcinoma. We performed a cross-sectional study in patients with lung adenocarcinoma between June 2020 and October 2021. The patient characteristics, such as age, sex, smoking history, clinical stage, metastasis, driver gene mutations, and the type of traditional Chinese medicine syndrome/element, were collected. The associations between each TCM syndrome and sex, smoking history, clinical stage, metastasis, and driver gene mutations were analyzed. The present study included 127 patients. The most frequent TCM syndromes were Qi and Yin deficiency (39, 30.7%) and lung-spleen Qi deficiency (32, 25.2%). Eighty-one (63.8%) patients had mutations in driver genes, especially in the

Identifiers

PMID36248421
PMCPMC9568290
OpenAlexW4303488446

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.