Evidence map›Paper›PMID 29869920›Full record

ArticleThe British journal of radiology2018

Shear wave elastography in the evaluation of renal parenchymal stiffness in patients with chronic kidney disease.

Sook Sam Leong, Jeannie Hsiu Ding Wong, Mohammad Nazri Md Shah, Anushya Vijayananthan, Maisarah Jalalonmuhali, Kwan Hoong Ng

Abstract read
In one paragraph

Article 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 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Radiology of fibrosis part III: genitourinary system.Journal of translational medicine · 2024
    Review
  19. Review
  20. 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

6 authors at 1 institution in 1 country.

Sook Sam Leong1 Department of Biomedical Imaging, University of Malaya , Kuala Lumpur , Malaysia.
Jeannie Hsiu Ding Wong1 Department of Biomedical Imaging, University of Malaya , Kuala Lumpur , Malaysia.
Mohammad Nazri Md Shah1 Department of Biomedical Imaging, University of Malaya , Kuala Lumpur , Malaysia.
Anushya Vijayananthan1 Department of Biomedical Imaging, University of Malaya , Kuala Lumpur , Malaysia.
Maisarah Jalalonmuhali4 Division of Nephrology, Department of Medicine, University of Malaya , Kuala Lumpur , Malaysia.
Kwan Hoong Ng1 Department of Biomedical Imaging, University of Malaya , Kuala Lumpur , Malaysia.
University of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the use of shear wave elastography (SWE)-derived estimates of Young's modulus (YM) as an indicator to detect abnormal renal tissue diagnosed by estimated glomerular filtration rate (eGFR).

methodsThe study comprised 106 chronic kidney disease (CKD) patients and 203 control subjects. Conventional ultrasound was performed to measure the kidney length and cortical thickness. SWE imaging was performed to measure renal parenchymal stiffness. Diagnostic performance of SWE and conventional ultrasound were correlated with serum creatinine, urea levels and eGFR.

resultsPearson's correlation coefficient revealed a negative correlation between YM measurements and eGFR (r = -0.576, p < 0.0001). Positive correlations between YM measurements and age (r = 0.321, p < 0.05), serum creatinine (r = 0.375, p < 0.0001) and urea (r = 0.287, p < 0.0001) were also observed. The area under the receiver operating characteristic curve for SWE (0.87) was superior to conventional ultrasound alone (0.35-0.37). The cut-off value of less or equal to 4.31 kPa suggested a non-diseased kidney (80.3% sensitivity, 79.5% specificity).

conclusionSWE was superior to renal length and cortical thickness in detecting CKD. A value of 4.31 kPa or less showed good accuracy in determining whether a kidney was diseased or not. Advances in knowledge: On SWE, CKD patients show greater renal parenchymal stiffness than non-CKD patients. Determining a cut-off value between normal and diseased renal parenchyma may help in early non-invasive detection and management of CKD.

Indexed as

Case-Control StudiesElasticity Imaging TechniquesFemaleGlomerular Filtration RateHumansKidneyKidney CortexMaleMiddle AgedReference ValuesRenal Insufficiency, ChronicROC Curve

Identifiers

PMID29869920
PMCPMC6223162
OpenAlexW2805864976

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.