Evidence map›Paper›PMID 38067266›Full record

ReviewCancers2023

Near-Infrared Fluorescence Imaging with Indocyanine Green for Robot-Assisted Partial Nephrectomy: A Systematic Review and Meta-Analysis.

Carlo Giulioni, Prashant Motiram Mulawkar, Daniele Castellani, Virgilio De Stefano, Carlotta Nedbal, Nariman Gadzhiev, Giacomo Maria Pirola, Yu Xi Terence Law, Marcelo Langer Wroclawski, William Ong Lay Keat and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

14 authors at 8 institutions in 6 countries.

Carlo GiulioniUrology Unit, Azienda Ospedaliero Universitaria delle Marche, Polytechnic University of Marche, 60121 Ancona, Italy.ORCID 0000-0001-9934-4011
Prashant Motiram MulawkarDepartment of Urology, Tirthankar Super Speciality Hospital, Akola 444001, India.
Daniele CastellaniUrology Unit, Azienda Ospedaliero Universitaria delle Marche, Polytechnic University of Marche, 60121 Ancona, Italy.ORCID 0000-0001-7354-9190
Virgilio De StefanoUrology Unit, Azienda Ospedaliero Universitaria delle Marche, Polytechnic University of Marche, 60121 Ancona, Italy.
Carlotta NedbalUrology Unit, Azienda Ospedaliero Universitaria delle Marche, Polytechnic University of Marche, 60121 Ancona, Italy.ORCID 0000-0003-2031-347X
Nariman GadzhievDepartment of Urology, Saint-Petersburg State University Hospital, Petersburg 190103, Russia.ORCID 0000-0002-6255-0193
Giacomo Maria PirolaUrology Unit, San Giuseppe Hospital, Multimedica Group, 20123 Milan, Italy.ORCID 0000-0002-4209-8670
Yu Xi Terence LawDepartment of Urology, National University Hospital, National University Health System, Singapore 119228, Singapore.ORCID 0000-0002-5277-7511
Marcelo Langer WroclawskiHospital Israelita Albert Einstein, São Paulo 05652-900, Brazil.ORCID 0000-0001-6835-9085
William Ong Lay KeatDepartment of Urology, Penang General Hospital, George Town 10990, Malaysia.
Ho Yee TiongDepartment of Urology, National University Hospital, National University Health System, Singapore 119228, Singapore.ORCID 0000-0003-0077-7904
Bhaskar Kumar SomaniDepartment of Urology, University Hospitals Southampton, NHS Trust, Southampton SO16 6YD, UK.ORCID 0000-0002-6248-6478
Andrea Benedetto GalosiUrology Unit, Azienda Ospedaliero Universitaria delle Marche, Polytechnic University of Marche, 60121 Ancona, Italy.ORCID 0000-0001-8313-5338
Vineet GauharDepartment of Urology, Ng Teng Fong General Hospital, Singapore 609606, Singapore.ORCID 0000-0002-3740-7141
Marche Polytechnic University · ITNational University Hospital · SGGovernment Medical College · INHospital Israelita Albert Einstein · BRMultiMedica · ITNg Teng Fong General Hospital · SGSt Petersburg University · RUUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to analyze the influence of near-infrared fluorescence (NIRF) using indocyanine green (ICG) with standard robot-assisted partial nephrectomy (RAPN) in patients with a kidney tumor (KT).

methodsWe performed a literature search on 12 September 2023 through PubMed, EMBASE, and Scopus. The analysis included observational studies that examined the perioperative and long-term outcomes of patients with a KT who underwent RAPN with NIRF.

resultsOverall, eight prospective studies, involving 535 patients, were eligible for this meta-analysis, with 212 participants in the ICG group and 323 in the No ICG group. For warm ischemia time, the ICG group showed a lower duration (weighted Mean difference (WMD) = -2.05, 95% confidence interval (CI) = -3.30--0.80,

conclusionsOur meta-analysis showed that NIRF with ICG during RAPN yields a favorable impact on functional outcomes, whereas it exerts no such influence on oncological aspects. Therefore, NIRF should be adopted when preserving nephron function is a paramount concern.

Indexed as

estimated glomerular filtration rateindocyanine greenkidney tumornear-infrared fluorescencerobot-assisted partial nephrectomy

Identifiers

PMID38067266
PMCPMC10705226
OpenAlexW4388974269

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.