Evidence map›Paper›PMID 38066815›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Calculation of Kidney Volumes with Magnetic Resonance in Patients with Autosomal Dominant Polycystic Kidney Disease: Comparison between Methods.

Stefano Di Pietro, Alfredo Gaetano Torcitto, Carmelita Marcantoni, Gabriele Giordano, Christian Campisi, Giovanni Failla, Licia Saporito, Rosa Giunta, Massimiliano Veroux, Pietro Valerio Foti and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 2 institutions in 1 country.

Stefano Di PietroRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0001-6785-0737
Alfredo Gaetano TorcittoRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.
Carmelita MarcantoniUOSD of Nephrology and Dialysis, University Hospital Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.
Gabriele GiordanoRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.
Christian CampisiRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.
Giovanni FaillaRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.
Licia SaporitoUOSD of Nephrology and Dialysis, University Hospital Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.
Rosa GiuntaUOSD of Nephrology and Dialysis, University Hospital Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.ORCID 0000-0002-4661-4177
Massimiliano VerouxOrgan Transplant Unit, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0002-2780-6421
Pietro Valerio FotiRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0002-0918-0103
Stefano PalmucciUOSD "IPTRA", Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0002-7196-2974
Antonio BasileRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.
University of Catania · ITPoliclinico Universitario di Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal dominant polycystic renal disease (ADPKD) is the most frequent kidney inheritable disease, characterized by the presence of numerous bilateral renal cysts, causing a progressive increase in total kidney volume (TKV) and a progressive loss of renal function. Several methods can be used to measure TKV by using MRI, and they differ in complexity, accuracy and time consumption. This study was performed to assess the performance of the ellipsoid method and the semi-automatic segmentation method, both for TKV and SKV (single kidney volume) computation. In total, 40 patients were enrolled, and 78 polycystic kidneys analyzed. Two independent operators with different levels of experience evaluated renal volumetry using both methods. Mean error for ellipsoid method for SKV computation was -2.74 ± 11.79% and 3.25 ± 10.02% for the expert and the beginner operator, respectively (

Indexed as

ADPKDkidneymagnetic resonance

Identifiers

PMID38066815
PMCPMC10706221
OpenAlexW4389205808

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.