Evidence map›Paper›PMID 32257807›Full record

ReviewAsian journal of urology2020

Percutaneous nephrolithotomy for staghorn calculi: Troubleshooting and managing complications.

Nariman Gadzhiev, Vigen Malkhasyan, Gagik Akopyan, Sergei Petrov, Francis Jefferson, Zhamshid Okhunov

Open access · diamondAbstract readReview
In one paragraph

Review in Asian journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 44 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Nariman GadzhievDepartment of Urology, Pavlov First Saint Petersburg State Medical University, Russia.
Vigen MalkhasyanInstitute for Urology and Reproductive Health, Sechenov University, Moscow, Russia.
Gagik AkopyanDepartment of Urology, Sechenov First Moscow State Medical University, Russia.
Sergei PetrovDepartment of Urology, Pavlov First Saint Petersburg State Medical University, Russia.
Francis JeffersonDepartment of Urology, University of California, Oakland, CA, USA.
Zhamshid OkhunovDepartment of Urology, University of California, Oakland, CA, USA.
First Pavlov State Medical University of St. Petersburg · RUSechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staghorn calculi comprise a unique subset of complex kidney stone disease. Percutaneous nephrolithotomy (PCNL) is the gold standard treatment for staghorn stones. Despite continuous refinements to the technique and instrumentation of PCNL, these stones remain a troublesome challenge for endourologists and are associated with a higher rate of perioperative complications than that for non-staghorn stones. Common and notable intraoperative complications include bleeding, renal collecting system injury, injury of visceral organs, pulmonary complications, thromboembolic complications, extrarenal stone migration, and misplacement of the nephrostomy tube. Postoperative complications include infection and urosepsis, bleeding, persistent nephrocutaneous urine leakage, infundibular stenosis, and death. In this review, we report recommendations regarding troubleshooting measures that can be used to identify and characterize these complications. Additionally, we include information regarding management strategies for complications associated with PCNL for staghorn calculi.

Indexed as

ComplicationsManagementPercutaneous nephrolithotomyStaghornUrolithiasis

Identifiers

PMID32257807
PMCPMC7096695
OpenAlexW2980730870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.