Evidence map›Paper›PMID 38282348›Full record

SynthesisActa obstetricia et gynecologica Scandinavica2024

Effect of lung metastasis on the treatment and prognosis of patients with gestational trophoblastic neoplasia: A systematic review and meta-analysis.

Taohong Zhang, Ying Guo, Xinyi He, Meng Hou, Lisha Wang, Ruifang An, Li Gao

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Acta obstetricia et gynecologica Scandinavica, 2024. 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
2.2field-weighted citation impact, top 14% 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, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The challenges of cancer during pregnancy.Acta obstetricia et gynecologica Scandinavica · 2024
    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

7 authors at 1 institution in 1 country.

Taohong ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Ying GuoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Xinyi HeDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Meng HouDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Lisha WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Ruifang AnDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Li GaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID 0000-0002-1752-6055
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

The National Natural Science Foundation of China 81972428
6 · The paper itself

Abstract

introductionGestational trophoblastic neoplasia (GTN) is a highly invasive tumor, mainly spreading to the lungs. However, lung metastasis in GTN is usually not considered as an adverse prognostic factor. Therefore, the aim of this study was to summarize the results of previous studies and evaluate the effects of lung metastasis on the treatment and prognosis of GTN. MATERIAL AND

methodsThe study was prospectively registered in PROSPERO (CRD42023372371). Electronic databases including PubMed, Embase, the Cochrane Library, Chinese National Knowledge Infrastructure, Wanfang, and China Biomedical Literature Database were used for a systematical search of relevant studies published up to November 21, 2022. The observational studies reporting the clinical outcomes of GTN patients with and without lung metastasis were selected. The incidences of resistance, relapse, and mortality of GTN patients were extracted and successively grouped based on the presence of lung metastasis. The pooled relative risks (RRs) and 95% confidence interval (95% CI) of the eligible studies were calculated. The qualities of included studies were assessed with the Newcastle-Ottawa Scale and the certainty of evidence was graded based on the GRADE. The meta-analysis was performed using Stata 12.0 and GradePro software.

resultsFive publications with 3629 GTN patients were included. The meta-analysis revealed that the GTN with lung metastasis was strongly correlated with first-line chemoresistance (pooled RR = 1.40, 95% CI: 1.22 to 1.61, p < 0.001), recurrence (pooled RR = 3.03, 95% CI: 1.21 to 7.62, p = 0.018), and disease-specific death (pooled RR = 22.11, 95% CI: 3.37 to 145.08, p = 0.001). Ethnicity was also an important factor and Caucasian GTN patients with lung metastasis showed a higher risk of recurrence as revealed by the subgroup analysis (pooled RR = 5.10, 95% CI: 2.38 to 10.94, p < 0.001).

conclusionsGTN patients with lung metastasis exhibited a higher risk of chemoresistance, relapse, and disease-specific death. Patients with lung metastasis among the Caucasian population had a higher risk of recurrence than Asian populations. Therefore, the presence of lung metastases might be considered as a high-risk factor for prognosis of GTN and deserves more attention in the choice of first-line chemotherapy regimens and follow-up.

Indexed as

Gestational Trophoblastic DiseaseLung NeoplasmsFemaleHumansNeoplasm Recurrence, LocalPregnancyPrognosischemoresistancedisease‐specific deathgestational trophoblastic neoplasialung metastasisrecurrence

Identifiers

PMID38282348
PMCPMC10993365
OpenAlexW4391320513

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.