Evidence map›Paper›PMID 29383636›Full record

ReviewHeart failure reviews2018

The dark side of the kidney in cardio-renal syndrome: renal venous hypertension and congestive kidney failure.

Pierpaolo Di Nicolò

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Observational
  2. Article
  3. How should we treat acute kidney injury caused by renal congestion?Kidney research and clinical practice · 2023
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

1 author at 1 institution in 1 country.

Pierpaolo Di NicolòNephrology and Dialysis Unit, "S. Maria della Scaletta" Hospital, Via Montericco n. 4, 40026, Imola, BO, Italy. p.dinicolo@hotmail.it.ORCID 0000-0002-5587-9185
Santa Maria Nuova Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal involvement in some forms of acute or chronic diseases, such as heart failure or sepsis, presents with a complex pathophysiological basis that is not always clearly distinguishable. In these clinical settings, kidney failure is traditionally and almost exclusively attributed to renal hypoperfusion and it is commonly accepted that causal elements are pre-renal, such as a reduction in the ejection fraction or absolute or relative hypovolemia acting directly on oxygen transport mechanisms and renal autoregulation systems, causing a reduction of glomerular filtration rate. Nevertheless, the concept emerging from accumulating clinical and experimental evidence is that in complex clinical pictures, kidney failure is strongly linked to the hemodynamic alterations occurring in the renal venous micro and macrocirculation. Accordingly, the transmission of the increased venous pressure to the renal venous compartment and the consequent increasing renal afterload has a pivotal role in determining and sustaining the kidney damage. The aim of this review was to clarify the physiopathological aspects of the link between worsening renal function and renal venous hypertension, analyzing the prognostic and therapeutic implications of the so-called congestive kidney failure in cardio-renal syndrome and in other clinical contexts of its possible onset.

Indexed as

Cardio-Renal SyndromeGlomerular Filtration RateHumansHypertensionKidneyRenal InsufficiencyAcute kidney injuryCardio-renal syndromeCongestive kidneyHeart failureRenal venous hypertension

Identifiers

PMID29383636
OpenAlexW2792098152

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.