Evidence map›Paper›PMID 30214620›Full record

ReviewTheranostics2018

Imaging and therapy of ovarian cancer: clinical application of nanoparticles and future perspectives.

Giovanni Di Lorenzo, Giuseppe Ricci, Giovanni Maria Severini, Federico Romano, Stefania Biffi

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
11.0field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 71 citations in OpenAlex.

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  10. Nanotheranostics for gynecological cancers: a path forward for Africa.Medical oncology (Northwood, London, England) · 2024
    Review
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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

5 authors at 1 institution in 1 country.

Giovanni Di LorenzoInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
Giuseppe RicciInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
Giovanni Maria SeveriniInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
Federico RomanoInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
Stefania BiffiInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.
IRCCS Materno Infantile Burlo Garofolo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant advances in cancer diagnostics and treatment, ovarian cancers (OC) continue to kill more than 150,000 women every year worldwide. Due to the relatively asymptomatic nature and the advanced stage of the disease at the time of diagnosis, OC is the most lethal gynecologic malignancy. The current treatment for advanced OC relies on the synergistic effect of combining surgical cytoreduction and chemotherapy; however, beside the fact that chemotherapy resistance is a major challenge in OC management, new imaging strategies are needed to target microscopic lesions and improve both cytoreductive surgery and patient outcomes. In this context, nanostructured probes are emerging as a new class of medical tool that can simultaneously provide imaging contrast, target tumor cells, and carry a wide range of medicines resulting in better diagnosis and therapeutic precision. Herein we summarize several exemplary efforts in nanomedicine for addressing unmet clinical needs.

Indexed as

Antineoplastic AgentsFemaleHumansMolecular Targeted TherapyNanomedicineNanoparticlesOvarian NeoplasmsSurgical Procedures, OperativeTheranostic NanomedicineAntineoplastic Agentsimagingnanoparticlesovarian cancersurgerytherapy

Identifiers

PMID30214620
PMCPMC6134923
OpenAlexW2887628002

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.