Evidence map›Paper›PMID 30539416›Full record

ReviewJournal of nephrology2019

Renal intraparenchymal resistive index: the ultrasonographic answer to many clinical questions.

Pierpaolo Di Nicolò, Antonio Granata

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Trial
  2. A Prospective Observational Study on Renal Resistive Index as an Early Predictor of Hepatorenal Syndrome.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  3. Article
  4. Article
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  7. Review
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Review
  13. Article
  14. Article
  15. Observational
  16. New aspects in cardiorenal syndrome and HFpEF.Clinical kidney journal · 2022
    Review
  17. Article
  18. Review
  19. Article
  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

2 authors.

Pierpaolo Di NicolòNephrology and Dialysis Unit, "S. Maria della Scaletta" Hospital, Via Montericco n. 4, 40026, Imola, BO, Italy. p.dinicolo@hotmail.it.ORCID http://orcid.org/0000-0002-5587-9185
Antonio GranataNephrology and Dialysis Unit, "S. Giovanni di Dio" Hospital, Agrigento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of renal resistive indices (RRIs) for the study of renal microcirculation has in the past been proposed for the identification of renal organ damage or even to specifically identify injury to some areas of the renal parenchyma. Nevertheless, according to the most recent evidences from literature this organ-based conception of RRIs has been proven to be partial and unable to explain the RRIs variations in clinical settings of sepsis or combined organ failure of primitively extrarenal origin or, more generally, the deep connection between RRIs and hemodynamic factors such as compliance and pulsatility of the large vessels. The aim of this review is to explain the physiopathological basis of RRIs determination and the most common interpretative errors in their analysis. Moreover, through a comprehensive vision of these Doppler indices, the traditional and emerging clinical application fields for RRIs are discussed.

Indexed as

Ultrasonography, Doppler, ColorVascular ResistanceAcute Kidney InjuryAnimalsCardio-Renal SyndromeDiabetic NephropathiesHepatorenal SyndromeHumansKidneyKidney DiseasesMicrocirculationMultiple TraumaParenchymal TissueRenal Insufficiency, ChronicSepsisPoint of care ultrasonographyRenal Doppler ultrasonographyRenal resistive index

Identifiers

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.