Evidence map›Paper›PMID 34125367›Full record

ArticleJapanese journal of radiology2021

Diffusion tensor imaging of renal cortex in lupus nephritis.

Ahmed Abdel Khalek Abdel Razek, Ahmed Mohamed Abdel Khalek, Samar Tharwat, Mohammed Kamal Nassar, Nihal Tharwat

Abstract read
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In one paragraph

Article in Japanese journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Imaging Findings of Pediatric Rheumatic Disorders: JIA in the PRINTO Era and Autoimmune Interferonopathies.Pediatrics international : official journal of the Japan Pediatric Society
    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 at 1 institution in 1 country.

Ahmed Abdel Khalek Abdel RazekDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, 13551, Egypt. arazek@mans.edu.eg.ORCID http://orcid.org/0000-0002-9613-5932
Ahmed Mohamed Abdel KhalekDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, 13551, Egypt.
Samar TharwatRheumatology and Immunology Unit, Internal Medicine Department, Mansoura Faculty of Medicine, Mansoura, Egypt.
Mohammed Kamal NassarMansoura Nephrology and Dialysis Unit, Internal Medicine Department, Mansoura Faculty of Medicine, Mansoura, Egypt.
Nihal TharwatDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, 13551, Egypt.
Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the diagnostic value of diffusion tensor imaging (DTI) of renal cortex in assessment of lupus nephritis (LN) and prediction of its pathological subtypes.

methodsProspective study was performed upon 39 female patients with pathologically proven LN and 16 sex- and age-matched healthy controls. Patients and controls underwent DTI of kidney. Mean diffusivity (MD) and fractional anisotropy (FA) of renal cortex were calculated by two radiologists. LN patients were pathologically classified into either non-proliferative (n = 15) or proliferative (n = 24).

resultsMean MD of renal cortex in LN was significantly lower (p = 0.001) than that of controls with cut-off (2.16 and 2.2 X10

conclusionMD and FA of renal cortex may help to assess renal affection in LN patients and predict its pathological subtypes.

Indexed as

Diffusion Tensor ImagingLupus NephritisAnisotropyDiffusion Magnetic Resonance ImagingFemaleHumansProspective StudiesDiffusionKidneyLupus nephritisMR imagingTensor

Identifiers

PMID34125367
OpenAlexW3171650367

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.