Evidence map›Paper›PMID 22493598›Full record

ArticleCardiorenal medicine2012

Ultrasonography: Ariadne's Thread in the Diagnosis of the Cardiorenal Syndrome.

Luca Di Lullo, Fulvio Floccari, Antonio Granata, Alessandro D'Amelio, Rodolfo Rivera, Fulvio Fiorini, Moreno Malaguti, Mario Timio

Open access · bronzeAbstract read
In one paragraph

Article in Cardiorenal medicine, 2012. 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
1.2field-weighted citation impact, top 21% 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, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

8 authors at 6 institutions in 1 country.

Luca Di LulloDepartment of Nephrology and Dialysis, S. Giovanni Evangelista Hospital, Tivoli, Italy.
Fulvio Floccari
Antonio Granata
Alessandro D'Amelio
Rodolfo Rivera
Fulvio Fiorini
Moreno Malaguti
Mario Timio
Ospedale San Paolo · ITAzienda Ospedaliera San Gerardo · ITAzienda Ospedaliero-Universitaria Policlinico - Vittorio Emanuele · ITAzienda Ospedaliero Universitaria San Giovanni Battista · ITOspedale Santa Maria della Misericordia di Rovigo · ITOspedale Vito Fazzi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term cardiorenal syndrome (CRS) describes a broad spectrum of clinical conditions with four combinations of acute and chronic heart and kidney failure. Based on the pathophysiological primum movens, the actual classification recognizes five CRS types: in type I and II CRS, the initiating event is heart failure (acute or chronic), while it is kidney failure in type III and IV CRS; type V is linked to systemic diseases. Ultrasound techniques (echocardiography and ultrasonography of the kidney, inferior vena cava and chest) can be extremely helpful in establishing a prompt diagnosis and a correct CRS classification. Basic echocardiography allows evaluation of ventricular diastolic and systolic functions, investigates pulmonary congestion and pericardial effusion, and describes volume overload. On the other hand, renal ultrasound helps clinicians to distinguish between acute and chronic renal failure, excludes urinary tract dilation or pathological bladder repletion, and provides crucial information regarding kidney volume or echogenicity. Applying basic knowledge of echocardiography and renal ultrasound, nephrologists may be in a better position for patient treatment and management, bearing in mind that doctors can properly use a stethoscope although not being a cardiologist.

Identifiers

PMID22493598
PMCPMC3318934
OpenAlexW1982471364

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.