Evidence map›Paper›PMID 37584239›Full record

ArticleCancer medicine2023

Heterogeneous treatment effects of adjuvant therapy for patients with cervical cancer in the intermediate-risk group.

Ayumi Taguchi, Kosuke Kato, Konan Hara, Akiko Furusawa, Yujiro Nakajima, Chihiro Ishizawa, Michihiro Tanikawa, Kenbun Sone, Mayuyo Mori, Muneaki Shimada and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  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

12 authors at 7 institutions in 2 countries.

Ayumi TaguchiDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-5491-3871
Kosuke KatoDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Konan HaraDepartment of Economics, University of Arizona, Tucson, Arizona, USA.
Akiko FurusawaGynecology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Yujiro NakajimaDepartment of Radiological Sciences, Komazawa University, Tokyo, Japan.
Chihiro IshizawaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Michihiro TanikawaDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kenbun SoneDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mayuyo MoriDepartment of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Muneaki ShimadaDepartment of Obstetrics and Gynecology, Tohoku University School of Medicine, Sendai, Japan.ORCID 0000-0003-1826-6723
Aikou OkamotoDepartment of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan.
Munetaka TakekumaDepartment of Gynecology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.ORCID 0000-0002-0807-1845
The University of Tokyo · JPTokyo Metropolitan Komagome Hospital · JPJikei University School of Medicine · JPKomazawa University · JPShizuoka Cancer Center · JPTohoku University · JPUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe efficacy of adjuvant therapy for patients with cervical cancer with intermediate risk (CC-IR) remains controversial. We examined the impact of adjuvant therapy on survival outcomes in patients with CC-IR and evaluated the heterogeneous treatment effects (HTEs) of adjuvant therapies based on clinicopathologic characteristics.

methodsWe retrospectively analyzed a previous Japanese nationwide cohort of 6192 patients with stage IB-IIB cervical cancer who underwent radical hysterectomy. We created two pairs of propensity score-matched treatment/control groups to investigate the treatment effects of adjuvant therapies: (1) adjuvant therapy versus non-adjuvant therapy; (2) chemotherapy versus radiotherapy conditional on adjuvant therapy. Multivariate analyses with treatment interactions were performed to evaluate the HTEs.

resultsAmong the 1613 patients with CC-IR, 619 and 994 were in the non-treatment and treatment groups, respectively. Survival outcomes did not differ between the two groups: 3-year progression-free survival (PFS) rates were 88.1% and 90.3% in the non-treatment and treatment groups, respectively (p = 0.199). Of the patients in the treatment group, 654 and 340 received radiotherapy and chemotherapy, respectively. Patients who received chemotherapy had better PFS than those who received radiotherapy (3-year PFS, 90.9% vs. 82.9%, p = 0.010). Tumor size was a significant factor that affected the treatment effects of chemotherapy; patients with large tumors gained better therapeutic effects from chemotherapy than those with small tumors.

conclusionAdjuvant therapy is optional for some patients with CC-IR; however, chemotherapy can be recommended as adjuvant therapy, particularly for patients with large tumors.

Indexed as

Uterine Cervical NeoplasmsAdultAgedChemotherapy, AdjuvantFemaleHumansHysterectomyMiddle AgedNeoplasm StagingPropensity ScoreRadiotherapy, AdjuvantRetrospective StudiesTreatment Effect HeterogeneityTreatment Outcomeadjuvant chemotherapyadjuvant radiotherapycervical cancercohort studiespropensity scoretreatment outcome

Identifiers

PMID37584239
PMCPMC10557871
OpenAlexW4385851378

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.