Evidence map›Paper›PMID 36863738›Full record

ReviewBMJ open2023

Diagnostic value of PET with different radiotracers and MRI for recurrent glioma: a Bayesian network meta-analysis.

Tian Xiaoxue, Wang Yinzhong, Qi Meng, Xingru Lu, Junqiang Lei

Abstract readReviewNetwork Meta-Analysis
In one paragraph

Review in BMJ open, 2023. 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. Article
  3. Article
  4. Review
  5. Cancers · 2023
    Review
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

5 authors.

Tian Xiaoxue *Department of Nuclear Medicine, the Second Hospital of Lanzhou University, Lanzhou, Gansu, China.
Wang Yinzhong *Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, Gansu, China.ORCID 0000-0003-2208-4324
Qi MengDepartment of Radiology, No.2 Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Xingru LuDepartment of Radiology, the First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Junqiang LeiDepartment of Radiology, the First Hospital of Lanzhou University, Lanzhou, Gansu, China leijq1990@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to evaluate the diagnostic accuracy of 6 different imaging modalities for differentiating glioma recurrence from postradiotherapy changes by performing a network meta-analysis (NMA) using direct comparison studies with 2 or more imaging techniques. DATA SOURCES: PubMed, Scopus, EMBASE, the Web of Science and the Cochrane Library were searched from inception to August 2021. The Confidence In Network Meta-Analysis (CINeMA) tool was used to evaluate the quality of the included studies with the criterion for study inclusion being direct comparison using 2 or more imaging modalities. DATA EXTRACTION AND SYNTHESIS: The consistency was evaluated by examining the agreement between direct and indirect effects. NMA was performed and the surface under the the cumulative ranking curve (SUCRA) values was obtained to calculate the probability of each imaging modality being the most effective diagnostic method. The CINeMA tool was used to evaluate the quality of the included studies. MAIN OUTCOMES AND MEASURES: Direct comparison, inconsistency test, NMA and SUCRA values.

resultsA total of 8853 potentially relevant articles were retrieved and 15 articles met the inclusion criteria. CONCLUSION AND RELEVANCE: This review indicates that PROSPERO REGISTRATION NUMBER: CRD42021293075.

Indexed as

GliomaBayes TheoremHumansMagnetic Resonance ImagingPositron-Emission Tomographyadult neurologydiagnostic radiologyneurological oncologyneuroradiologyradiation oncology

Identifiers

PMID36863738
PMCPMC9990663

What OpenQuestion holds

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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.