Evidence mapPaperPMID 39583749Full record

ReviewEClinicalMedicine2024

Prognosticating gestational trophoblastic neoplasia: from FIGO 2000 to future models.

Lin Jin-Kai, Jiang Fang, Xiang Yang

Abstract readReview
In one paragraph

Review in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
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

9 citing papers in PubMed.

  1. Cancers · 2026
    Review
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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

3 authors.

Lin Jin-KaiDepartment of Obstetrics & Gynaecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, National Clinical Research Centre for Obstetric & Gynaecologic Diseases, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, China.
Jiang FangDepartment of Obstetrics & Gynaecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, National Clinical Research Centre for Obstetric & Gynaecologic Diseases, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, China.
Xiang YangDepartment of Obstetrics & Gynaecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, National Clinical Research Centre for Obstetric & Gynaecologic Diseases, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The FIGO 2000 Prognostic Scoring System is a global standard for prognostication in patients with gestational trophoblastic neoplasia (GTN). However, the system has not been updated in over 20 years, and in clinical practice it has several critical limitations, including inadequate assessment of single-agent chemotherapy resistance and overuse in unsuitable clinical scenarios. This review critically examines these shortcomings and summarizes recent efforts to refine the system. After identifying its limitations, we propose novel refinements: instead of relying on a single system to address multiple clinical objectives, we advocate for specialized scoring models, each tailored to a specific clinical goal. This approach simplifies and enhances the effectiveness of prognostic assessments. Additionally, biological and genetic markers must be integrated into these models to improve accuracy. Looking ahead, we emphasize the need for advanced technologies and multicentre collaboration to build more personalized and adaptive GTN management frameworks, ultimately improving clinical practice and outcomes. Funding: This work was supported by the National Key R&D Program of China (2023YFC2705802) and National High Level Hospital Clinical Research Funding (2022-PUMCH-C-058).

Indexed as

FIGO 2000Gestational trophoblastic neoplasiaPredictionPrognosticationResistance

Identifiers

PMID39583749
PMCPMC11582452

What Socratic 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 Socratic graph.