Evidence map›Paper›PMID 32591246›Full record

Trial reportEuropean urology oncology2020

The Automated Bone Scan Index as a Predictor of Response to Prostate Radiotherapy in Men with Newly Diagnosed Metastatic Prostate Cancer: An Exploratory Analysis of STAMPEDE's "M1|RT Comparison".

Adnan Ali, Alex P Hoyle, Christopher C Parker, Christopher D Brawley, Adrian Cook, Claire Amos, Joanna Calvert, Hassan Douis, Malcolm D Mason, Gerhardt Attard and 5 more

Open access · hybridAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in European urology oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Comparison ofEuropean journal of hybrid imaging · 2022
    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

15 authors at 7 institutions in 1 country.

Adnan AliGenito-Urinary Cancer Research Group, Division of Cancer Sciences, The University of Manchester, Manchester, UK; FASTMAN Centre of Prostate Cancer Excellence, Manchester Cancer Research Centre, Manchester, UK; Department of Surgery, The Christie NHS Foundation Trust, Manchester, UK.
Alex P HoyleGenito-Urinary Cancer Research Group, Division of Cancer Sciences, The University of Manchester, Manchester, UK; FASTMAN Centre of Prostate Cancer Excellence, Manchester Cancer Research Centre, Manchester, UK; Department of Surgery, The Christie NHS Foundation Trust, Manchester, UK; Department of Urology, The Salford NHS Foundation Trust, Manchester, UK.
Christopher C ParkerRoyal Marsden Hospital and The Institute of Cancer Research, London, UK.
Christopher D BrawleyMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London, UK.
Adrian CookMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London, UK.
Claire AmosMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London, UK.
Joanna CalvertMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London, UK.
Hassan DouisDepartment of Radiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Malcolm D MasonCardiff University, Cardiff, UK.
Gerhardt AttardUCL Cancer Institute, London, UK.
Mahesh K B ParmarMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London, UK.
Matthew R SydesMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London, UK.
Nicholas D JamesRoyal Marsden Hospital and The Institute of Cancer Research, London, UK.
Noel W ClarkeGenito-Urinary Cancer Research Group, Division of Cancer Sciences, The University of Manchester, Manchester, UK; FASTMAN Centre of Prostate Cancer Excellence, Manchester Cancer Research Centre, Manchester, UK; Department of Surgery, The Christie NHS Foundation Trust, Manchester, UK; Department of Urology, The Salford NHS Foundation Trust, Manchester, UK. Electronic address: noel.clarke@christie.nhs.uk.
STAMPEDE investigators
MRC Clinical Trials Unit at UCL · GBInstitute of Cancer Research · GBSalford Royal NHS Foundation Trust · GBCancer Research UK · GBCardiff University · GBCRUK Lung Cancer Centre of Excellence · GBUniversity Hospitals Birmingham NHS Foundation Trust · GB

Funding

Cancer Research UK 3804Cancer Research UK CRUK_A12459Medical Research Council MRC_MC_UU_12023/25
6 · The paper itself

Abstract

backgroundProstate radiotherapy (RT) is a first-line option for newly diagnosed men with low-burden metastatic prostate cancer. The current criterion to define this clinical state is based on manual bone metastasis counts, but enumeration of bone metastases is limited by interobserver variations, and it does not account for metastasis volume or lesional coalescence. The automated bone scan index (aBSI) is a quantitative method of evaluating bone metastatic burden in a standardised and reproducible manner.

objectiveTo evaluate whether aBSI has utility as a predictive imaging biomarker to define a newly diagnosed metastatic prostate cancer population that might benefit from the addition of prostate RT to standard of care (SOC) systemic therapy. DESIGN, SETTING, AND

participantsThis is an exploratory analysis of men with newly diagnosed metastatic prostate cancer randomised in a 1:1 ratio to either SOC or SOC + prostate RT within the STAMPEDE "M1|RT comparison".

interventionThe SOC was lifelong androgen deprivation therapy, with up-front docetaxel permitted from December 2015. Men allocated RT received either a daily or a weekly schedule that was nominated before randomisation. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Baseline bone scans were evaluated retrospectively to calculate aBSI. We used overall (OS) and failure-free (FFS) survival as the end points. Treatment-aBSI interaction was evaluated using the multivariable fractional polynomial interaction (MFPI) and subpopulation treatment effect pattern plot. Further analysis was done in aBSI quartiles using Cox regression models adjusted for stratification factors. RESULTS AND LIMITATIONS: Baseline bone scans for 660 (SOC: 323 and SOC + RT: 337) of 2061 men randomised within the "M1|RT comparison" met the software requirements for aBSI calculation. The median age was 68 yr, median PSA was 100 ng/mL, median aBSI was 0.9, and median follow-up was 39 mo. Baseline patient characteristics including aBSI were balanced between the treatment groups. Using the MFPI procedure, there was evidence of aBSI-treatment interaction for OS (p = 0.04, MFPI procedure) and FFS (p <  0.01, MFPI procedure). Graphical evaluation of estimated treatment effect plots showed that the OS and FFS benefit from prostate RT was greatest in patients with a low aBSI. Further analysis in quartiles based on aBSI supported this finding.

conclusionsA low automated bone scan index is predictive of survival benefit associated with prostate RT in men with newly diagnosed metastatic prostate cancer. PATIENT SUMMARY: The widely used bone scan can be evaluated using an automated technique to potentially select men with newly diagnosed metastatic prostate cancer who might benefit from prostate radiotherapy.

Indexed as

AgedAutomationBone NeoplasmsDiagnostic ImagingHumansMaleMiddle AgedPredictive Value of TestsProstatic NeoplasmsHormone naïveImagingMetastaticRadiotherapy

Identifiers

PMID32591246
PMCPMC7443695
OpenAlexW3021935293

What OpenQuestion holds

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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.