Evidence map›Paper›PMID 39112915›Full record

ArticleEJNMMI reports2024

Retrospective evaluation of the predictive value of tumour burden at baseline [

Anni Gålne, Anna Sundlöv, Olof Enqvist, Katarina Sjögreen Gleisner, Erik Larsson, Elin Trägårdh

Abstract read
In one paragraph

Article in EJNMMI reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Anni GålneDepartment of Medical Imaging and Physiology, Skåne University Hospital, Lund and Malmö, Sweden. anni.galne@med.lu.se.ORCID http://orcid.org/0000-0002-9050-7889
Anna SundlövDepartment of Clinical Sciences, Oncology and Pathology, Skåne University Hospital, Lund University, Lund, Sweden.
Olof EnqvistEigenvision AB, Malmö, Sweden.
Katarina Sjögreen GleisnerMedical Radiation Physics, Lund University, Lund, Sweden.
Erik LarssonDepartment of Radiation Physics, Skåne University Hospital, Lund, Sweden.
Elin TrägårdhDepartment of Medical Imaging and Physiology, Skåne University Hospital, Lund and Malmö, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is a lack of validated imaging biomarkers for prediction of response to peptide receptor radionuclide therapy (PRRT). The primary objective was to evaluate if tumour burden at baseline PET/CT could predict treatment outcomes to PRRT with [

methodsPatients with gastroenteropancreatic neuroendocrine tumour (GEP-NET) treated with [

resultsThirty-one patients had a baseline PET/CT < 6 months before treatment and 25 had a follow-up examination. Median tumour burden was 132 ml (IQR 61-302) at baseline and 71 ml (IQR 36-278) at follow-up. Twenty-two patients had disease progression (median time to progression 17.2 months) and 9 patients had no disease progression (median follow-up 28.7 months). SRETVwb dichotomized by the median at baseline was not associated with longer PFS (p = 0.861) or OS (p = 0.937). Neither TLSREwb, largest tumour lesion or SUVmax showed significant predictive value. There was a moderately strong correlation, however, between SUVmax and mean tumour AD r = 0.705, p < 0.001, but no significant correlation between SRETVwb nor TLSREwb and mean tumour AD. An increase of SRETVwb, TLSREwb or largest tumour lesion at first follow-up PET/CT was significantly correlated with shorter PFS/OS.

conclusionTumour burden at baseline showed no predictive value of PFS/OS after PRRT in this small retrospective study. An increase of tumour burden was predictive of worse outcome.

Identifiers

PMID39112915
PMCPMC11306659

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.