Evidence map›Paper›PMID 30800173›Full record

ArticleTherapeutic advances in urology

Performing an early systematic Doppler-ultrasound fails to prevent hemorrhagic complications after complex partial nephrectomy.

Inès Dominique, Charles Dariane, Cyril Fourniol, Thomas Le Guilchet, Sophie Hurel, Eric Fontaine, Eric Mandron, Francois Audenet, Arnaud Mejean, Marc Olivier Timsit

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Inès DominiqueDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Service d'Urologie, Hôpital Européen Georges-Pompidou, AP-HP, 20-40 rue Leblanc, Paris, 75015, France.ORCID https://orcid.org/0000-0002-8350-7290
Charles DarianeDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Cyril FourniolDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Thomas Le GuilchetDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Sophie HurelDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Eric FontaineDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Eric MandronDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Francois AudenetDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Arnaud MejeanDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Marc Olivier TimsitDepartment of Urology, Hôpital Européen Georges-Pompidou (HEGP), Assistance Publique Hôpitaux de Paris (APHP), Paris, France Paris-Descartes University, Paris, France.
Université Paris Cité · FRAssistance Publique – Hôpitaux de Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this work was to assess the clinical relevance of a systematic postoperative Doppler-ultrasound (DU) after complex partial nephrectomy (PN). MATERIALS AND

methodsAll patients who underwent open, laparoscopic or robotic PN from 2014 to 2017 at our institution were included. Postoperative hemorrhagic complications (HCs) were defined as the occurrence of blood transfusion, hemorrhagic shock, arterial embolization, or re-hospitalization for hematoma. DU was systematically performed between post-op day 4 and 7 for every complex tumor (RENAL score ⩾ 7). DU was considered positive in the presence of pseudoaneurysm (PA) or arteriovenous fistula (AVF).

resultsAmong 194 patients, 117 underwent DU (60.3%). We reported 22 HCs (11.3%) requiring 8 selective embolization procedures (4.1%). HCs occurred during the hospital stay in 17 patients (77.3%), thus directly diagnosed on a computed tomography scan. Among the five patients (22.7%) with HC occurring after hospital discharge, between day 7 to 15, four had a previously negative systematic DU. Overall, systematic DU was positive in only five patients (4.3%) with only one patient of 194 (0.5%) undergoing preventive embolization of a PA-AVF. The negative predictive values (NPVs) and positive predictive values of DU were respectively 96.5% and 5%, with 20% sensitivity and 96.5% specificity.

conclusionsOur results may suggest offering systematic DU in patients under antiplatelet therapies, with high tumor size (>T1b), or early postoperative hemoglobin variations. A high NPV of DU might be counterbalanced by its low sensibility. Since all secondary HCs occurred between postoperative day 7 to 15, our results may suggest differing DU in selected cases.

Indexed as

Doppler-ultrasoundkidney canceroncologypartial nephrectomy

Identifiers

PMID30800173
PMCPMC6378436
OpenAlexW2914220783

What OpenQuestion holds

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LicenceCC BY-NC
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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.