Evidence map›Paper›PMID 37998530›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Prognostic

Daniela Travaglio Morales, Carlos Huerga Cabrerizo, Itsaso Losantos García, Mónica Coronado Poggio, José Manuel Cordero García, Elena López Llobet, Domenico Monachello Araujo, Sebastián Rizkallal Monzón, Luis Domínguez Gadea

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Texture analysis and metabolic parameters ofEuropean journal of nuclear medicine and molecular imaging · 2025
    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

9 authors.

Daniela Travaglio MoralesNuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0003-2423-4680
Carlos Huerga CabrerizoDepartment of Medical Physics and Radiation Protection, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0002-5693-8300
Itsaso Losantos GarcíaBiostatistics Department, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0001-5338-7438
Mónica Coronado PoggioNuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
José Manuel Cordero GarcíaNuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
Elena López LlobetNuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
Domenico Monachello AraujoNuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
Sebastián Rizkallal MonzónNuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
Luis Domínguez GadeaNuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade serous ovarian cancer (HGSOC) is an aggressive disease with different clinical outcomes and poor prognosis. This could be due to tumor heterogeneity. The 18F-FDG PET radiomic parameters permit addressing tumor heterogeneity. Nevertheless, this has been not well studied in ovarian cancer. The aim of our work was to assess the prognostic value of pretreatment 18F-FDG PET radiomic features in patients with HGSOC. A review of 36 patients diagnosed with advanced HGSOC between 2016 and 2020 in our center was performed. Radiomic features were obtained from pretreatment

Indexed as

heterogeneityovarian cancerPETprognosisradiomicstexture features

Identifiers

PMID37998530
PMCPMC10670627

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.