Evidence map›Paper›PMID 37081717›Full record

SynthesisCancer medicine2023

Evaluation of the efficacy of systemic therapy for advanced uterine leiomyosarcoma: A systematic review, meta-analysis, and meta-regression analysis.

Iqra Ijaz, Muhammad Naveed Shahzad, Hossein Hosseinifard, Shuya Liu, Masoud Ostadi Sefidan, Lubna Ejaz Kahloon, Saber Imani, Zhong Hua, Yu Qin Zhang

Open access · goldAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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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

9 authors at 5 institutions in 3 countries.

Iqra IjazSichuan Provincial Center for Gynecological and Breast Diseases, Southwest Medical University, Luzhou, Sichuan, PR China.ORCID 0000-0002-8010-3143
Muhammad Naveed ShahzadStem Cell Laboratory, Department of Hematology, The Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, PR China.ORCID 0000-0003-4153-6410
Hossein HosseinifardDepartment of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Shuya LiuDepartment of Oncology, The Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, PR China.ORCID 0000-0003-4904-7849
Masoud Ostadi SefidanDepartment of General Surgery, Rasool-e Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
Lubna Ejaz KahloonDepartment of Obstetrics & Gynecology, Holy Family Hospital, Rawalpindi Medical University, Rawalpindi, Pakistan.
Saber ImaniShulan International Medical College, Zhejiang Shuren University, Zhejiang, Hangzhou, PR China.ORCID 0000-0003-1308-8403
Zhong HuaDepartment of Obstetrics, The Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, PR China.ORCID 0000-0002-8818-0610
Yu Qin ZhangDepartment of Oncology, The Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, PR China.
Affiliated Hospital of Southwest Medical University · CNRawalpindi Medical University · PKHamedan University of Medical Sciences · IRIran University of Medical Sciences · IRZhejiang Shuren University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine leiomyosarcoma (uLMS) is an aggressive mesenchymal neoplasm associated with a poor prognosis. Systemic chemotherapy is the standard therapy for patients with uLMS. However, it is unclear which treatment regimen results in the most favorable clinical outcome. We performed a meta-analysis and meta-regression analysis to assess the efficiency of different treatments received by patients with advanced, metastatic, and relapsing uLMS by evaluating the objective response rate (ORR) and disease control rate (DCR) as primary endpoints. The frequentist random effects meta-analysis model was used to compare the outcomes of different treatment regimens for advanced uLMS. A meta-regression analysis was performed to estimate the association between the study-specific hazard ratios and specific demographic variables. A meta-analysis of 51 reports including 1664 patients was conducted. Among patients who received adjuvant chemotherapy (916 patients; 55%), gemcitabine and docetaxel were the most frequently used drugs. First-line monotherapy with alkylating agents (pooled ORR = 0.48; 95% confidence interval [CI]: 0.44-0.52) and second-line monotherapy with protein kinase inhibitors (pooled ORR = 0.45; 95% CI: 0.39-0.52) resulted in favorable prognoses. The combinations of anthracycline plus alkylating therapy (pooled DCR = 0.74; 95% CI: 0.67-0.79) and of gemcitabine plus docetaxel (pooled DCR = 0.70; 95% CI: 0.63-0.75) showed the greatest benefits when used as first-line and second-line chemotherapies, respectively. Subgroup meta-analysis results revealed that dual-regimen therapies comprising anthracycline plus alkylating therapy and gemcitabine plus docetaxel are practical therapeutic choices for International Federation of Gynecology and Obstetrics stages III-IVb with distant metastases when assessed by computed tomography (p = 0.001). Furthermore, neoadjuvant chemotherapy and local radiotherapy resulted in favorable outcomes for patients with earlier stages of distant relapsed uLMS (p < 0.001). Our findings provide a basis for designing new therapeutic strategies and can potentially guide clinical practice toward better prognoses for uLMS patients with advanced, metastatic, and relapsing disease.

Indexed as

LeiomyosarcomaUterine NeoplasmsAnthracyclinesAntineoplastic Combined Chemotherapy ProtocolsDocetaxelFemaleGemcitabineHumansNeoplasm Recurrence, LocalProportional Hazards ModelsAnthracyclinesDocetaxelGemcitabinemeta-analysismeta-regression analysissystemic therapyuterine leiomyosarcoma

Identifiers

PMID37081717
PMCPMC10358251
OpenAlexW4366602400

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.