Evidence map›Paper›PMID 26743079›Full record

ArticleJournal of nephrology2017

Acute renal infarction: a single center experience.

Paola Mesiano, Cristiana Rollino, Giulietta Beltrame, Michela Ferro, Giacomo Quattrocchio, Roberta Fenoglio, Marco Pozzato, Pasqualina Cecere, Giacomo Forneris, Mario Bazzan and 2 more

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In one paragraph

Article in Journal of nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

26 citing papers in PubMed, 41 citations in OpenAlex.

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  19. [Clinical characteristics of patients with acute renal infarction: an analysis of 52 patients in a single center].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2019
    Article
  20. Idiopathic Renal Infarction and Anticoagulation.TH open : companion journal to thrombosis and haemostasis · 2019
    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 1 institution in 1 country.

Paola MesianoNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy. paola.mesiano@gmail.com.
Cristiana RollinoNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Giulietta BeltrameNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Michela FerroNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Giacomo QuattrocchioNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Roberta FenoglioNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Marco PozzatoNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Pasqualina CecereNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Giacomo FornerisNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Mario BazzanHematology Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Gianluca MacchiaRadiology, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Dario RoccatelloNephrology and Dialysis Unit, San Giovanni Bosco Hospital, Piazza del Donatore di Sangue 3, 10154, Turin, Italy.
Ospedale San Giovanni Bosco · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute renal infarction is a rare condition whose diagnosis is often delayed. Major risk factors include atrial fibrillation, valvular or ischemic heart disease, renal artery thrombosis/dissection and coagulopathy.

methodsWe reviewed the medical records of 18 patients admitted to our Nephrology Department between 1999 and 2015 for acute renal infarction diagnosed by computed tomography. Tc-99m dimercaptosuccinic acid (DMSA) scintigraphy was performed in some patients during follow-up to assess parenchymal lesions and estimate differential kidney function.

resultsMean age was 59.8 years. Major associated risk factors included hypertension (44 %), obesity (33 %), atrial fibrillation (28 %), peripheral vascular disease (17 %), smoking (17 %), prior thromboembolic event (11 %), diabetes (11 %), estroprogestinic therapy (11 %). Seventy-two percent of patients presented with flank pain. Mean serum creatinine was 1.2 ± 0.6 mg/dl. Acute kidney injury occurred as the initial manifestation in two patients. Patients were managed conservatively, with low molecular weight heparin (83 %) or aspirin (11 %). At the end of follow-up serum creatinine was 1.1 ± 0.3 mg/dl; one patient remained on chronic hemodialysis. 58 % of patients who underwent renal scintigraphy after a median of 8 months had a reduced contribution of the previously affected kidney to total renal function.

conclusionRisk factors associated with the development of chronic kidney disease following renal infarction are unknown. In our subjects, renal function remained stable in all but one patient who developed end stage renal disease. Further studies should focus on etiology and evolution of kidney function in patients with acute renal infarction.

Indexed as

Acute DiseaseAdultAgedAged, 80 and overCreatinineFemaleHeparin, Low-Molecular-WeightHumansInfarctionKidneyMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedCreatinineHeparin, Low-Molecular-WeightAcute kidney injuryAcute renal infarctionRenal scintigraphySingle center study

Identifiers

PMID26743079
OpenAlexW2230589688

What OpenQuestion holds

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Registered trials

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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.