Evidence map›Paper›PMID 39501399›Full record

Trial reportBreast cancer research : BCR2024

Prediction of menstrual recovery patterns in premenopausal women with breast cancer taking tamoxifen after chemotherapy: an ASTRRA Substudy.

Young Joo Lee, Woo Chul Noh, Sungchan Gwark, Hyun-Ah Kim, Jai Min Ryu, Seung Il Kim, Eun-Gyeong Lee, Seock-Ah Im, Yongsik Jung, Min Ho Park and 10 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. 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

20 authors.

Young Joo LeeDivision of Breast Surgery, Department of Surgery, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
Woo Chul NohDepartment of Surgery, Konkuk University Medical Center, Seoul, South Korea.
Sungchan GwarkDepartment of Surgery, Ewha Womans University College of Medicine, Ewha Womans University Mokdong Hospital, Seoul, South Korea.
Hyun-Ah KimDepartment of Surgery, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea.
Jai Min RyuDivision of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Seung Il KimDivision of Breast Surgery, Department of Surgery, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.
Eun-Gyeong LeeCenter for Breast Cancer, Research Institute and Hospital, National Cancer Center, Goyang, South Korea.
Seock-Ah ImCancer Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Yongsik JungDepartment of Surgery, School of Medicine, Ajou University, Suwon, South Korea.
Min Ho ParkDepartment of Surgery, Chonnam National University Medical School & Chonnam National University Hwasun Hospital, Gwangju, South Korea.
Kyong Hwa ParkDepartment of internal medicine, Division of Medical Oncology/Hematology, Korea University Anam Hospital, Seoul, South Korea.
Su Hwan KangYeungnam University College of Medicine, Daegu, South Korea.
Joon JeongDivision of Breast Surgery, Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Eunhwa ParkDong-A University Hospital, Dong-A University College of Medicine, Busan, South Korea.
Sung Yong KimDepartment of Surgery, Soonchunhyang University Cheonan Hospital, Cheonan, South Korea.
Min Hyuk LeeDepartment of Surgery, Soonchunhyang University Hospital, Seoul, South Korea.
Lee Su KimDepartment of Surgery, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, South Korea.
Woosung LimDepartment of Surgery, Ewha Womans University College of Medicine, Ewha Womans University Mokdong Hospital, Seoul, South Korea.
Seonok KimDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, South Korea.
Hee Jeong KimDivision of Breast Surgery, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea. heejeong_kim@amc.seoul.kr.

Funding

Asan Institute for Life Sciences 2020IF0004-1Korea Health Industry Development Institute (KHIDI) HI19C0481, HC19C0147
6 · The paper itself

Abstract

backgroundChemo-endocrine therapy can lead to various side effects associated with ovarian dysfunction. Predicting menstrual recovery is necessary to discuss the treatment-related issues regarding fertility and premature menopause with patients.

methodsIn the ASTRRA trial, patients who resumed ovarian function within 2 years after chemotherapy were randomized to receive tamoxifen for 5 years or OFS with tamoxifen for 2 years. With these 1298 patients, we developed a model that predicts when menstrual recovery will occur within a 3-year period after chemotherapy using variables including age, body mass index, chemotherapy regimen and duration, and serum estradiol and follicle-stimulating hormone levels.

resultsThe data of 957 patients were used to develop the prediction model, and those of 341 patients were used for validation. In the development group, menstruation resumed in 450 patients (47.0%) within 5 years. In multivariable analysis, younger age (< 35 vs. 45, HR 7.85, 95% CI 4.63-13.30, p < 0.0001), anthracycline-based chemotherapy without taxane (vs. with taxane, HR 1.81, 95% CI 1.37-2.38, p < 0.0001), and chemotherapy duration (≤ 90 days vs. > 90 days, HR 1.32, 95% CI 1.01-1.72, p = 0.045) correlated with menstrual recovery. Using combined age, regimen, and duration of chemotherapy, we developed a simplified scoring system to estimate recovery chances and used a concordance index of 0.679 overall and 0.744 at 3 years for validation.

conclusionThis model predicted timing and probability of menstrual recovery, based on their individual age, type and duration of chemotherapy in premenopausal women diagnosed with breast cancer who received tamoxifen after chemotherapy.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsMenstruationPremenopauseTamoxifenAdultAntineoplastic Agents, HormonalFemaleHumansMiddle AgedAntineoplastic Agents, HormonalTamoxifenBreast neoplasmsChemotherapyMenstruationPremenopauseTamoxifen

Identifiers

PMID39501399
PMCPMC11539666

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.