Evidence map›Paper›PMID 35058300›Full record

SynthesisAJNR. American journal of neuroradiology2022

Pretreatment ADC Histogram Analysis as a Prognostic Imaging Biomarker for Patients with Recurrent Glioblastoma Treated with Bevacizumab: A Systematic Review and Meta-analysis.

R Kurokawa, A Baba, M Kurokawa, A Capizzano, O Hassan, T Johnson, Y Ota, J Kim, A Hagiwara, T Moritani and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in AJNR. American journal of neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

R KurokawaFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan kuroro63@gmail.com.ORCID 0000-0002-1186-8900
A BabaFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0001-6913-5307
M KurokawaFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-3907-9188
A CapizzanoFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-1950-8499
O HassanFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-7927-5378
T JohnsonDepartment of Biostatistics (T.J.), University of Michigan School of Public Health, Ann Arbor, Michigan.ORCID 0000-0002-7676-5347
Y OtaFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0001-8992-2156
J KimFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-9223-7640
A HagiwaraDepartment of Radiology (A.H.), Juntendo University School of Medicine, Tokyo, Japan.ORCID 0000-0001-5277-3249
T MoritaniFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-4909-8526
A SrinivasanFrom the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-4400-1959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mean ADC value of the lower Gaussian curve (ADC PURPOSE: We applied a systematic review and meta-analysis to investigate the predictive/prognostic performance of ADC DATA SOURCES: We performed a literature search using PubMed, Scopus, and EMBASE. STUDY SELECTION: A total of 1344 abstracts were screened, of which 83 articles were considered potentially relevant. Data were finally extracted from 6 studies including 578 patients. DATA ANALYSIS: Forest plots were generated to illustrate the hazard ratios of overall survival and progression-free survival. The heterogeneity across the studies was assessed using the Cochrane DATA SYNTHESIS: The pooled hazard ratios for overall survival and progression-free survival in patients with an ADC LIMITATIONS: The conclusions are limited by the difference in the definition of recurrence among the included studies.

conclusionsThis systematic review with meta-analysis supports the prognostic value of ADC

Indexed as

Brain NeoplasmsGlioblastomaAngiogenesis InhibitorsBevacizumabBiomarkersDiffusion Magnetic Resonance ImagingHumansNeoplasm Recurrence, LocalPrognosisAngiogenesis InhibitorsBevacizumabBiomarkers

Identifiers

PMID35058300
PMCPMC8985678

What OpenQuestion holds

Textmetadata
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.