Evidence map›Paper›PMID 24244402›Full record

SynthesisPloS one2013

The correlation between apparent diffusion coefficient and tumor cellularity in patients: a meta-analysis.

Lihua Chen, Min Liu, Jing Bao, Yunbao Xia, Jiuquan Zhang, Lin Zhang, Xuequan Huang, Jian Wang

Abstract readMeta-AnalysisReview
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 15 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

163 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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  8. Correlation between SolubleBioMed research international · 2018
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  9. Temperature drop and the risk of asthma: a systematic review and meta-analysis.Environmental science and pollution research international · 2017
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103 more citing papers are in PubMed but not listed here.

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.

Lihua ChenDepartment of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China ; Department of Radiology, Taihu Hospital, Wuxi, China.
Min Liu
Jing Bao
Yunbao Xia
Jiuquan Zhang
Lin Zhang
Xuequan Huang
Jian Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo perform a meta-analysis exploring the correlation between the apparent diffusion coefficient (ADC) and tumor cellularity in patients. MATERIALS AND

methodsWe searched medical and scientific literature databases for studies discussing the correlation between the ADC and tumor cellularity in patients. Only studies that were published in English or Chinese prior to November 2012 were considered for inclusion. Summary correlation coefficient (r) values were extracted from each study, and 95% confidence intervals (CIs) were calculated. Sensitivity and subgroup analyses were performed to investigate potential heterogeneity.

resultsOf 189 studies, 28 were included in the meta-analysis, comprising 729 patients. The pooled r for all studies was -0.57 (95% CI: -0.62, -0.52), indicating notable heterogeneity (P<0.001). After the sensitivity analysis, two studies were excluded, and the pooled r was -0.61 (95% CI: -0.66, -0.56) and was not significantly heterogeneous (P = 0.127). Regarding tumor type subgroup analysis, there were sufficient data to support a strong negative correlation between the ADC and cellularity for brain tumors. There was no notable evidence of publication bias.

conclusionsThere is a strong negative correlation between the ADC and tumor cellularity in patients, particularly in the brain. However, larger, prospective studies are warranted to validate these findings in other cancer types.

Indexed as

FemaleHumansMaleNeoplasms

Identifiers

PMID24244402
PMCPMC3823989

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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.