Evidence map›Paper›PMID 38773026›Full record

SynthesisReproductive sciences (Thousand Oaks, Calif.)2024

Apparent Diffusion Coefficient on Diffusion-Weighted Magnetic Resonance Imaging to Predict the Prognosis of Patients with Endometrial Cancer: A Meta-Analysis.

Deyin Zhai, Xiujie Wang, Junlian Wang, Zheng Zhang, Yangang Sheng, Ruining Jiao, Yihua Liu, Peng Liu

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Reproductive sciences (Thousand Oaks, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Deyin Zhai *Department of Internal Medicine, Laizhou People's Hospital, Laizhou, China.
Xiujie Wang *Imaging Department, Zhaoyuan People's Hospital, Zhaoyuan, China.
Junlian Wang *Department of Nursing, Laizhou People's Hospital, Laizhou, China.
Zheng ZhangImaging Department, Laizhou People's Hospital, Laizhou, China.
Yangang ShengUltrasound Department, Laizhou People's Hospital, Laizhou, China.
Ruining JiaoUltrasound Department, Laizhou People's Hospital, Laizhou, China.
Yihua LiuDepartment of Radiation Oncology, Yantai Yuhuangding Hospital, Yantai, China. 2011786371@qq.com.
Peng LiuDepartment of Radiation Oncology, Yantai Yuhuangding Hospital, Yantai, China. lpyuhuangding@163.com.ORCID 0009-0002-8276-070X

Funding

Research Project of Qingdao University Medical Group Co., Ltd. YLJT20231003
6 · The paper itself

Abstract

Apparent diffusion coefficient (ADC) derived from diffusion-weighted magnetic resonance imaging (DWI) may help diagnose endometrial cancer (EC). However, the association between ADC and the recurrence and survival of EC remains unknown. We performed a systematic review and meta-analysis to investigate whether pretreatment ADC on DWI could predict the prognosis of women with EC. PubMed, Embase, and Cochrane's Library were searched for relevant cohort studies comparing the clinical outcomes between women with EC having low versus high ADC on pretreatment DWI. Two authors independently conducted data collection, literature searching, and statistical analysis. Using a heterogeneity-incorporating random-effects model, we analyzed the results. In the meta-analysis, 1358 women with EC were included from eight cohort studies and followed for a median duration of 40 months. Pooled results showed that a low pretreatment ADC on DWI was associated with poor disease-free survival (DFS, hazard ratio [HR]: 3.29, 95% CI: 2.04 to 5.31, p < 0.001; I

Indexed as

Diffusion Magnetic Resonance ImagingEndometrial NeoplasmsDisease-Free SurvivalFemaleHumansPredictive Value of TestsPrognosisApparent diffusion coefficientDiffusion-weighted magnetic resonance imagingEndometrial cancerMeta-analysisRecurrenceSurvival

Identifiers

PMID38773026

What OpenQuestion holds

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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.