Validating a linked primary–secondary care data platform for analysis of non-specific cancer symptom pathways: a retrospective study

Abstract Patients with suspected cancer frequently present with non-specific symptoms (NSS) that do not meet site-specific referral criteria. Rapid Diagnostic Centres (RDCs) in the UK aim to streamline assessment of these patients, but their evaluation has been limited by the lack of linked longitudinal primary-care data. We conducted a retrospective validation study of 2,021 patients referred to a London RDC between November 2021 and December 2024, linked to primary-care records within the Whole Systems Integrated Care (WSIC) platform. We assessed the feasibility of reconstructing NSS pathways using WSIC and evaluated data completeness and outcome concordance against RDC records.WSIC substantially improved data completeness for frailty, comorbidities, lifestyle factors, healthcare utilisation and diagnostic outcomes compared with RDC records alone. The linked dataset enabled reconstruction of symptom histories, laboratory investigations, prescribing patterns, healthcare contacts and diagnostic outcomes over time, capabilities unavailable from RDC records alone. Cancer ascertainment showed near-complete agreement between datasets, with 74 cancers identified in RDC records and 75 in WSIC. Longitudinal follow-up within WSIC identified an additional 34 cancer diagnoses after RDC discharge.These findings validate WSIC as a reliable platform for reconstructing NSS diagnostic pathways and demonstrate the value of linked primary-secondary care data for early cancer signal detection.

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Publication Details

Journal
npj Digital Public Health
Published
2026-09-25
DOI
https://doi.org/10.1038/s44482-026-00040-8
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
0.00
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article

Validating a linked primary–secondary care data platform for analysis of non-specific cancer symptom pathways: a retrospective study

Sunnia Gupta, Margaret Powell, Meena Rafiq, Richard W. Lee et al.
npj Digital Public Health
Global Cancer Incidence and Screening
article

Validating a linked primary–secondary care data platform for analysis of non-specific cancer symptom pathways: a retrospective study

Sunnia Gupta, Margaret Powell, Meena Rafiq, Richard W. Lee, Marcel Alied, Thea Mathias, Andrew Millar, Margaret Perkins, Ceire Costelloe, Kavitha Saravanakumar, Ravindhi Murphy
article en

Abstract

Abstract Patients with suspected cancer frequently present with non-specific symptoms (NSS) that do not meet site-specific referral criteria. Rapid Diagnostic Centres (RDCs) in the UK aim to streamline assessment of these patients, but their evaluation has been limited by the lack of linked longitudinal primary-care data. We conducted a retrospective validation study of 2,021 patients referred to a London RDC between November 2021 and December 2024, linked to primary-care records within the Whole Systems Integrated Care (WSIC) platform. We assessed the feasibility of reconstructing NSS pathways using WSIC and evaluated data completeness and outcome concordance against RDC records.WSIC substantially improved data completeness for frailty, comorbidities, lifestyle factors, healthcare utilisation and diagnostic outcomes compared with RDC records alone. The linked dataset enabled reconstruction of symptom histories, laboratory investigations, prescribing patterns, healthcare contacts and diagnostic outcomes over time, capabilities unavailable from RDC records alone. Cancer ascertainment showed near-complete agreement between datasets, with 74 cancers identified in RDC records and 75 in WSIC. Longitudinal follow-up within WSIC identified an additional 34 cancer diagnoses after RDC discharge.These findings validate WSIC as a reliable platform for reconstructing NSS diagnostic pathways and demonstrate the value of linked primary-secondary care data for early cancer signal detection.

npj Digital Public HealthVol. 1(1)
Royal Marsden NHS Foundation Trust (GB), Institute of Cancer Research (GB), The University of Melbourne (AU), Royal Free London NHS Foundation Trust (GB), Chelsea and Westminster Hospital NHS Foundation Trust (GB), University College London (GB), Imperial College London (GB)
Openalex Percentile: Top 14%
Global Cancer Incidence and Screening
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