Evidence map›Paper›PMID 29888970›Full record

SynthesisThe British journal of radiology2018

Diffusion-weighted imaging for staging chronic kidney disease: a meta-analysis.

Haitian Liu, Zhangjian Zhou, Xiang Li, Chenxia Li, Rong Wang, Yuelang Zhang, Gang Niu

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Diffusion-Weighted MRI in the Genitourinary System.Journal of clinical medicine · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Radiographic Imaging in Autosomal Dominant Polycystic Kidney Disease: A Claims Analysis.International journal of nephrology and renovascular disease · 2021
    Article
  15. 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

7 authors at 1 institution in 1 country.

Haitian Liu1 Department of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, Shaanxi Province , China.
Zhangjian Zhou2 Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, Shaanxi Province , China.
Xiang Li1 Department of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, Shaanxi Province , China.
Chenxia Li1 Department of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, Shaanxi Province , China.
Rong Wang1 Department of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, Shaanxi Province , China.
Yuelang Zhang1 Department of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, Shaanxi Province , China.
Gang Niu1 Department of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University , Xi'an, Shaanxi Province , China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective: To evaluate stages of chronic kidney disease (CKD) by apparent diffusion coefficient (ADC) obtained from diffusion weighted imaging (DWI) using a meta-analysis.

methods: Literature databases were searched from PubMed, Web of Science, Cochrane and Embase to identify relevant articles about DWI in CKD between 1999 and 2017. ADC values were extracted from the healthy group and CKD patients with different stages. Meta-analysis was conducted using STATA v. 12.0. A random-effects model was performed to acquire the effect estimate, which was expressed as a pooled weighted mean difference (WMD) with 95% confidence interval (CI). We performed comparisons of ADC values between the following groups: (1) the ADC values of the normal kidneys vs earlier Stage 1-2 of CKD; (2) Stage 3 vs the Stage 1-2 of CKD; (3) the Stage 4-5 vs the Stage 3.

results: Six studies were included in this meta-analysis. The CKD patients with earlier Stage 1-2 showed lower ADC values than the healthy subjects [WMD = -0.09, 95% CI(-0.12 to -0.06), p < 0.001]. However, no obvious difference in ADC values was found between the Stage 3 and Stage1-2 of CKD [WMD = -0.09, 95% CI (-0.18 to 0.01), p = 0.08]. The CKD Stage3 had higher ADC values than those of Stage4-5 [WMD = -0.21, 95% CI (-0.32 to -0.11), p = 0.01].

conclusion: DWI is an accurate and non-invasive imaging technique for early diagnosis and staging of CKD. Quantitative DWI may potentially play a role in making clinical decisions in the follow-up of CKD. ADVANCES IN KNOWLEDGE: DWI can be a valuable tool for staging of CKD.

Indexed as

AdolescentAdultAgedAged, 80 and overDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicYoung Adult

Identifiers

PMID29888970
PMCPMC6475960
OpenAlexW2807746468

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.