Evidence map›Paper›PMID 35035510›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

The Clinical Efficacy of Chemotherapy Combined with Traditional Chinese Medicine in the Treatment of Cervical Cancer and Its Influence on Cellular Immunity, Serum CEA, and TNF-

Qiannan Zhao, Juanjuan Liu, Sai Wang, Xiuqin Wang, Xiufang Jiang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 5 institutions in 1 country.

Qiannan ZhaoDepartment of Clinical Laboratory, Yantaishan Hospital, Yantai 26400, China.ORCID https://orcid.org/0000-0001-8906-8113
Juanjuan LiuDepartment of Obstetrics, The Third People's Hospital of Qingdao, Qingdao 266041, China.ORCID https://orcid.org/0000-0002-5940-6115
Sai WangICU, Affiliated Qingdao Central Hospital, Qingdao University, Qingdao 266000, China.ORCID https://orcid.org/0000-0002-7997-9957
Xiuqin WangDepartment of Gynaecology, People's Hospital of Huakang, Rizhao 276800, China.ORCID https://orcid.org/0000-0001-8490-4362
Xiufang JiangDepartment of Obstetrics, Zhangqiu District People's Hospital, Jinan 250200, China.ORCID https://orcid.org/0000-0002-2841-0533
People’s Hospital of Rizhao · CNQingdao Eighth People's Hospital · CNQingdao University · CNYantaishan Hospital · CNZhangqiu City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to investigate the clinical efficacy of chemotherapy combined with traditional Chinese medicine in patients with cervical cancer and its effect on cellular immunoglobulin, serum sugar chain antigen 125 (CA125), carcinoembryonic antigen (CEA), and tumor necrosis factor-

methodsConventional chemotherapy was performed in control and observation groups. Meantime, the observation group received traditional Chinese medicine. Finally, the clinical efficacy, immunoglobulin, serum tumor markers, and serum TNF-

resultsCompared with the control group, total effective rate in the observation group was increased. After treatment, serum CD8+, TNF-

conclusionChemotherapy combined with traditional Chinese can help improve the clinical efficacy and immunity in patients with cervical cancer. Moreover, the safety and feasibility of the treatment method are relatively high.

Identifiers

PMID35035510
PMCPMC8759920
OpenAlexW4206718186

What OpenQuestion holds

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LicenceCC BY
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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.