Evidence map›Paper›PMID 28856078›Full record

ArticleCureus2017

Participating in an International Stereotactic Radiotherapy Patient Registry: The Establishment of Data Collection Pathways.

Aylin Yahya, Eva Arneric, Elizabeth Kernutt, Fiona Baldacchino, Claire Haworth, Mary-Anne Kedda, Colin Tang, Sean Bydder, Tammy Corica

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Aylin YahyaRadiation Oncology Clinical Trials and Research, Sir Charles Gairdner Hospital, Perth, Australia.
Eva ArnericRadiation Oncology Clinical Trials and Research, Sir Charles Gairdner Hospital, Perth, Australia.
Elizabeth KernuttRadiation Oncology Clinical Trials and Research, Sir Charles Gairdner Hospital, Perth, Australia.
Fiona BaldacchinoRadiation Oncology Clinical Trials and Research, Sir Charles Gairdner Hospital, Perth, Australia.
Claire HaworthRadiation Oncology Clinical Trials and Research, Sir Charles Gairdner Hospital, Perth, Australia.
Mary-Anne KeddaRadiation Oncology Clinical Trials and Research, Sir Charles Gairdner Hospital, Perth, Australia.
Colin TangDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Perth, Australia.
Sean BydderDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Perth, Australia.
Tammy CoricaRadiation Oncology Clinical Trials and Research, Sir Charles Gairdner Hospital, Perth, Australia.
Sir Charles Gairdner Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim To describe data collection pathways and practical challenges experienced by an academic comprehensive cancer centre aiming to record clinical data for patients being treated with a novel radiotherapy treatment modality. Methods Various options to capture data from all patients treated with the CyberKnife Robotic Radiosurgery System at Sir Charles Gairdner Hospital (SCGH) in Western Australia were explored. An international multicenter web-based secure database established and maintained by the Radiosurgery Society the RSSearch® Patient Registry was selected. Data were collected and entered over four contiguous phases, with either opt-in or opt-out consent and the completion of Patient Reported Outcome questionnaires for specific sub-groups. Results Between April 2014 and June 2016, 461 patients at Sir Charles Gairdner Hospital were enrolled in the RSSearch® Patient Registry with the collection of over 17,500 data items. From 461 patients enrolled, 447 patients were treated with the CyberKnife Robotic Radiosurgery System. The majority of patients were treated for either a malignant primary (43.2%) or metastatic disease (39.4%). The establishment of matrix organisational processes for data collection led to the development of improved workflow patterns and data collection pathways. Conclusions This article describes the processes developed by a single centre to establish an efficient system for data collection and participation in an international registry. The opt-out approach was more efficient in terms of patient recruitment compared to the informed-consent method used in earlier phases. The experience of this single centre may help inform other institutions considering data collection options for assessments of new or novel treatments.

Indexed as

cyberknife®data collection pathwayspatient registry

Identifiers

PMID28856078
PMCPMC5574631
OpenAlexW2724561595

What OpenQuestion holds

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LicenceCC BY
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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.