Evidence map›Paper›PMID 33677734›Full record

ReviewEuropean journal of nuclear medicine and molecular imaging2021

Factors predicting biochemical response and survival benefits following radioligand therapy with [

Reyhaneh Manafi-Farid, Sara Harsini, Bahare Saidi, Hojat Ahmadzadehfar, Ken Herrmann, Alberto Briganti, Jochen Walz, Mohsen Beheshti

Open access · hybridAbstract readReview
In one paragraph

Review in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Prognostic Value of Posttherapy SPECT/CT for Overall Survival in Patients Undergoing [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Trial
  2. Outcome-driven dosimetry optimization for [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. [European journal of nuclear medicine and molecular imaging · 2026
    Article
  4. PSMA-PET response under [European journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Prompt PSA changes as a prognostic marker for response to PSMA-radioligand therapy.European journal of nuclear medicine and molecular imaging · 2026
    Article
  6. Refining the clinical utility of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. MulticentricFrontiers in nuclear medicine · 2023
    Article
  15. Review
  16. Novel radionuclide therapy combinations in prostate cancer.Therapeutic advances in medical oncology · 2023
    Review
  17. Optimized TherapeuticPharmaceuticals (Basel, Switzerland) · 2022
    Article
  18. Review
  19. Article
  20. 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

8 authors at 7 institutions in 5 countries.

Reyhaneh Manafi-FaridResearch Center for Nuclear Medicine, Tehran University of Medical sciences, Tehran, Iran.
Sara HarsiniResearch Center for Nuclear Medicine, Tehran University of Medical sciences, Tehran, Iran.
Bahare SaidiResearch Center for Nuclear Medicine, Tehran University of Medical sciences, Tehran, Iran.
Hojat AhmadzadehfarDepartment of Nuclear Medicine, Klinikum Westfalen, Dortmund, Germany.
Ken HerrmannDepartment of Nuclear Medicine, University Hospital, Essen, Germany.
Alberto BrigantiUrological Research Institute, Scientific Institute San Raffaele, Vita-Salute San Raffaele University, Milan, Italy.
Jochen WalzDepartment of Urology, Institute Paoli-Calmettes Cancer Centre, Marseille, France.
Mohsen BeheshtiDivision of Molecular Imaging and Theranostics, Department of Nuclear Medicine & Endocrinology, Paracelsus Medical University, Salzburg, Austria. m.beheshti@salk.at.ORCID http://orcid.org/0000-0003-3918-3812
Tehran University of Medical Sciences · IREssen University Hospital · DEInstitut Paoli-Calmettes · FRKlinikum Westfalen (Germany) · DEParacelsus Medical University · ATUniversal Scientific Education and Research Network · IRVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PC) is one of the most common cancers in men. Although the overall prognosis is favorable, the management of metastatic castration-resistant prostate cancer (mCRPC) patients is challenging. Usually, mCRPC patients with progressive disease are considered for radioligand therapy (RLT) after exhaustion of other standard treatments. The prostate-specific membrane antigen (PSMA) labeled with Lutetium-177 ([

methodsStudies were retrieved by searching MEDLINE/PubMed and GoogleScholar. The search keywords were as follows: {("177Lu-PSMA") AND ("radioligand") AND ("prognosis") OR ("predict")}. Studies discussing one or more factors which may be prognostic or predictive of response to [

resultsSeveral demographic, histological, biochemical, and imaging factors have been assessed as predictive parameters for the response to thistreatment; however, the evaluated factors were diverse, and the results mostly were divergent, except for the PSA level reduction after treatment, which unanimously predicted prolonged survival.

conclusionSeveral studies have investigated a multitude of factors to detect those predicting response to [

Indexed as

Prostatic Neoplasms, Castration-ResistantQuality of LifeDipeptidesHeterocyclic Compounds, 1-RingHumansMalePrognosisTreatment OutcomeDipeptidesHeterocyclic Compounds, 1-Ring[177Lu]Lu-PSMAPredictive factorsPrognosisRadioligand therapyResponse to therapy

Identifiers

PMID33677734
PMCPMC8484081
OpenAlexW3133507743

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.