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The Palga database contains (molecular) pathology data. Certain research may require combining this data with information from other sources. If this is the case, a link between the Palga database and another data source can be created. The researcher can then merge these two datasets using a shared key.

Procedure for linking datasets

Palga’s database does not contain patient-identifying data, but pseudonyms derived from patient data. If you want to link your own cohort or a cohort from another data source to the Palga database, this data will have to be pseudonymised as well. This is done by ZorgTTP, a Trusted Third Party.

Requests for links can be submitted via the Palga portal. There, under the heading ‘Link’, you can indicate that you want to create a link and specify the registry or study. Linking a cohort based on patient data (such as name and address) requires patient consent in most cases. A blank informed consent form and the patient information leaflet should be attached to the request. If informed consent has not been obtained, please explain why this is the case. More information on patient data links can be found here, in the Code of Good Conduct on Coreon’s website.

Links are also submitted to and reviewed by Palga’s Scientific Council and Privacy Committee. This is not a substitute for assessment by an ethical review committee. For studies that require assessment by an ethical review committee under the WMO, an approval statement must be included in the request.

 

Links with registries

To create a link between the Palga database and another registry, requests should be submitted to both organisations. Below are a number of registries/biobanks that the Palga database has previously been linked with. Of course, we can also create links with other data sources. Contact our data request consultants to discuss the possibilities.

Steps for linking

  • The procedure for creating a link is set out below. Researchers providing their own cohort can complete steps 1 to 6 themselves. To create a link with another registry, these steps must be completed by the registry in question.

    1. Palga sends the person who will submit the patient data to Palga an NAW (name and address) form.

    2. This person fills in their details and returns the form to Palga.

    3. Palga forwards the form to ZorgTTP.

    4. ZorgTTP provides the necessary software and the corresponding manual to the patient data manager (also available here)and sends a certificate to activate the software.

    5. The researcher assigns a registration number to each patient in the cohort, creates an appropriately formatted file and uploads it to ZorgTTP using the PVM software. This software pseudonymises the patient data before it leaves the hospital’s systems. This means that no identifiable patient data is sent out.

    6. ZorgTTP pseudonymises the data again and sends the pseudonyms and corresponding registration numbers to Palga.

    7. Based on these pseudonyms, Palga links the cohort to the Palga database and checks to ensure that the provided pseudonyms do not match pseudonyms in the Palga database. Palga then selects the pathology excerpts relevant to the study.

    8. Palga provides pathology excerpts along with the corresponding registration numbers to the researcher.

    9. The researcher merges the two datasets using the registration numbers.

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Existing links

  • LifeLines is a biobank in the north of the Netherlands containing samples provided by healthy individuals. It also asks its donors to provide certain data and fill in surveys. Combined with pathology data provided by Palga, the information LifeLines collects can serve as a basis for studies on the relationship between lifestyle and disease (pathology).

  • The Prospective National CRC Cohort (PLCRC) provides an infrastructure for collecting clinical data and patient-reported outcomes, as well as for storing blood and tissue samples, such as tumour tissue from patients with colon cancer. A link with the Palga database can be used to:

    1. Combine patient-reported outcomes with Palga pathology data.

    2. Request sections or tumour tissue from PLCRC through DNTP, with Palga acting as intermediary.

  • Statistics Netherlands (CBS) manages a very large amount of data that could be combined with pathology data to produce interesting insights.

  • Perined contains data related to perinatal care in the Netherlands. Links with Perined can only be established through CBS.

  • The Netherlands Foundation for the Detection of Hereditary Tumours (StOET) is a national registry of patients with a hereditary form of cancer (such as familial adenomatous polyposis (FAP) or Lynch syndrome (HNPCC)) and at-risk relatives. A link between StOET and Palga could, for example, allow researchers to study the effects of targeted screening or the prevalence of other types of cancer or disease in patients with hereditary cancers.

  • The Dutch Cancer Registry (NKR) contains information on the diagnosis and treatment of cancer, as well as on the survival rates of cancer patients. For certain research questions, it may be worthwhile to combine this information with Palga data. For instance:

    1. If additional pathology data on tumours that is not available in the NKR is needed.

    2. If a pathology history or tumour follow-up from the NKR is needed.

    3. If the researcher wants to retrieve tumour tissue slides from the NKR through DNTP, with Palga acting as intermediary.

  • The HIV Monitoring Foundation (SHM) collects data on HIV infections to monitor patients and the treatment they receive. Combined with pathology data, this information can provide insight into the relationship between HIV treatments and certain diseases. A link between SHM and Palga could also provide more detailed information on tissue biopsies and punctures – information that is not normally included in the registry.

  • PHARMO (PHARmacoMOrbidity linkage) brings together data from various databases, including those used by pharmacists, hospitals, GPs and clinical labs. A PHARMO-Palga link can be created to study the pathological effects of certain medicines, for instance on disease progression.

  • The CBG Centre for Family History was established to promote genealogical research and related sciences. It also manages the National Register of Deceased Persons (NRO), which is linked to the Palga database once a year. This allows Palga to provide up-to-date vital status data for the purpose of scientific research. There is no need to submit a request to the CBG for this link.

  • Data from the three national screening programmes (for breast, colon and cervical cancer) and Palga data can be linked through the screening registration system ScreenIT, for instance to study the outcomes of follow-up testing after a positive (or negative) screening test.

  • Links with other databases can often be established as well. To find out more, please contact the data request consultants.

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