Evidence map›Paper›PMID 28180965›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2017

M Samim, W Prevoo, B J de Wit-van der Veen, K F Kuhlmann, T Ruers, R van Hillegersberg, M A A J van den Bosch, H M Verkooijen, M G E H Lam, M P M Stokkel

Open access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. The Role ofMolecular imaging and radionuclide therapy · 2021
    Article
  3. 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

10 authors at 2 institutions in 1 country.

M SamimDepartment Surgery, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands. morsalsamim@gmail.com.
W PrevooDepartment of Radiology and Nuclear Medicine, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1006 BE, Amsterdam, The Netherlands.
B J de Wit-van der VeenDepartment of Radiology and Nuclear Medicine, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1006 BE, Amsterdam, The Netherlands.
K F KuhlmannDepartment Surgical Oncology, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1006 BE, Amsterdam, The Netherlands.
T RuersDepartment Surgical Oncology, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1006 BE, Amsterdam, The Netherlands.
R van HillegersbergDepartment Surgery, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands.
M A A J van den BoschDepartment Radiology and Nuclear Medicine, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands.
H M VerkooijenDepartment Radiology and Nuclear Medicine, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands.
M G E H LamDepartment Radiology and Nuclear Medicine, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands.
M P M StokkelDepartment of Radiology and Nuclear Medicine, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1006 BE, Amsterdam, The Netherlands.
The Netherlands Cancer Institute · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecurrent disease following thermal ablation therapy is a frequently reported problem. Preoperative identification of patients with high risk of recurrent disease might enable individualized treatment based on patients' risk profile. The aim of the present work was to investigate the role of metabolic parameters derived from the pre-ablation

methodsIncluded in this retrospective study were all consecutive patients with CLM treated with percutaneous or open thermal ablation therapy who had a pre-treatment baseline

resultsFifty-four patients with 90 lesions were selected. Univariable cox regression analysis resulted in eight models. Multivariable analysis revealed that after adjusting for lesion size and the approach of the procedure, none of the metabolic parameters were associated with LTP-FS or EHR-FS. Percutaneous approach was significantly associated with a shorter LTP-FS. It was demonstrated that lower values of SUL

conclusionWe found no association between the metabolic parameters on pre-ablation

Indexed as

Ablation TechniquesDisease ProgressionFluorodeoxyglucose F18Positron Emission Tomography Computed TomographyAdultAgedAged, 80 and overBiomarkers, TumorColorectal NeoplasmsFemaleHumansLiver NeoplasmsMaleMiddle AgedRetrospective StudiesBiomarkers, TumorFluorodeoxyglucose F18CLMImaging biomarkerPERCISTRFA

Identifiers

PMID28180965
PMCPMC5434127
OpenAlexW2584027770

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.