Evidence map›Paper›PMID 35166179›Full record

ArticleRenal failure2022

Kidney tissue elastography and interstitial fibrosis observed in kidney biopsy.

Mehmet Sami Islamoglu, Sibel Gulcicek, Nurhan Seyahi

Open access · goldAbstract readComparative Study
In one paragraph

Article in Renal failure, 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
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Kidney Elastography in Adult Nephrology: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Mehmet Sami IslamogluDepartment of Internal Medicine, Faculty of Medicine, Biruni University, Istanbul, Turkey.
Sibel GulcicekDepartment of Nephrology, Istanbul Training and Research Hospital, Istanbul, Turkey.
Nurhan SeyahiDivision of Nephrology, Department of Internal Medicine, Cerrahpasa Medical Faculty, Istanbul University, Istanbul, Turkey.
Biruni University · TRIstanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionKidney interstitial fibrosis is an important risk factor for the progression of chronic kidney disease. Kidney elastography is a noninvasive imaging modality that might be used to assess tissue fibrosis. In this study, we aimed to investigate the relationship between tissue stiffness detected in kidney elastography and interstitial fibrosis observed in kidney biopsy. MATERIALS AND

methodsPatients who were hospitalized in a tertiary care university hospital with a kidney biopsy indication were included in this study. In all patients, the transverse and sagittal elastography measurements were made using a sonoelastography device before the biopsy. The total histological score was calculated.

resultsFifty-seven native kidney patients with proteinuria were included in the study. Patients were divided into two groups according to the presence (

conclusionThe findings of our study suggest a significant relationship between the elastography measurements and interstitial fibrosis. Because of the high negative predictive value (91%), we suggest that elastography should mainly be used as an exclusion test for the presence of fibrosis. We also believe that elastography may be useful to evaluate the fibrosis status in kidney diseases.

Indexed as

Elasticity Imaging TechniquesAdultBiopsyFemaleFibrosisHumansKidneyMaleMiddle AgedProteinuriaRenal Insufficiency, ChronicElastography interstitial fibrosiskidney kidney biopsy

Identifiers

PMID35166179
PMCPMC8856082
OpenAlexW4213079780

What OpenQuestion holds

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LicenceCC BY
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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.