Skip to main content
Tessa NewsLink
Paste a health news link, or browse
Latest checks

Source study found

Story checked

A study of 62.5 million people reveals what broad ethnic labels miss about rare diseases (opens in a new tab)

news-medical.net · 2026-10-19

Short answerEvidenceSource

Short answer

Mixed

Mixed.

One claim goes further than the study. One other point was not covered by the paper.

  • 3 supported
  • 1 overstated
  • 1 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

Share this check

Follow the evidence trail
1
2

NewsLink checks it

Mixed

One claim overstates the study. Three of five check out. One claim the study doesn't address.

  • 3 supported
  • 1 overstated
  • 1 not covered
Open claim evidence
3

The source study

Prevalence of 406 rare diseases by ethnicity and recorded COVID-19 infection rates among 62.5 million people in England

Scientific Reports · 2026
Open source record (opens in a new tab)
Source paper

Source layer

The 2 papers the story cites

Source study separated from background citations.

The research anchor for the report.

  • The study this story reportsmentioned without context

    Prevalence of 406 rare diseases by ethnicity and recorded COVID-19 infection rates among 62.5 million people in England

    Scientific Reports · 2026

    Publisher (opens in a new tab)
  • The study this story reportspresented as the new finding

    Prevalence of 406 rare diseases by ethnicity and recorded COVID-19 infection rates among 62.5 million people in England

    Scientific Reports · 2026

    Publisher (opens in a new tab)
Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

5 claims in this story

Showing all 5 claimsChoose a verdict to focus the list.

Claim 1 of 5OverstatedResearchers examined millions of NHS health records to investigate how ethnicity relates to rare disease prevalence and why recorded COVID-19 infections differ between communities.View evidenceHide evidence

As statedmillions of NHS health records

Why this verdict

The abstract-level profile supports that the researchers used national linked NHS records covering millions of people to examine rare-disease prevalence by ethnicity and recorded COVID-19 infection patterns. However, the claim says the study investigated why recorded COVID-19 infections differ between communities. The paper profile frames the COVID-19 analysis as descriptive comparison/heterogeneity in recorded infection rates, not an explanatory or causal analysis of why differences occurred.

1

Study evidence

Overall burden of the 406 rare diseases in the population.1.7% (1.05 million of 62.5 million)

“We conducted a cross-sectional study within the National Health Service (NHS) England Secure Data Environment”
2

Study evidence

Overall recorded COVID-19 infection was higher among people with any of the 406 rare diseases than among people without (32.8% vs 29.0%).32.8% vs 29.0%

“and to describe recorded COVID-19 infection across these RD and ethnic groups”
Claim 2 of 5Not coveredThe study included 62,539,740 individuals in England, of whom 1,051,470 had at least one of the 406 rare diseases.View evidenceHide evidence

As stated62,539,740 individuals; 1,051,470 affected

Why this verdict

The abstract-level profile supports the rounded quantities: 62.5 million people in the study population and 1.05 million, or 1.7%, with at least one of the 406 rare diseases. It does not provide the exact figures 62,539,740 and 1,051,470, so those exact numbers are not verifiable at abstract depth.

1

Study evidence

Overall burden of the 406 rare diseases in the population.1.7% (1.05 million of 62.5 million)

“We conducted a cross-sectional study within the National Health Service (NHS) England Secure Data Environment”
2

Study evidence

Overall recorded COVID-19 infection was higher among people with any of the 406 rare diseases than among people without (32.8% vs 29.0%).32.8% vs 29.0%

“and to describe recorded COVID-19 infection across these RD and ethnic groups”
Claim 3 of 5SupportedThe analysis found that broad ethnic categories concealed substantial differences in recorded rare disease prevalence between communities.View evidenceHide evidence

Why this verdict

Supported. The paper profile reports substantial heterogeneity in age- and sex-standardised rare-disease prevalence across ethnic groups and says granular NHS 19-group ethnicity classifications revealed differences obscured by broad categories, including the discoid lupus erythematosus example. Although this is a headline-prominence claim, it does not outrun the abstract-level evidence as phrased.

1

Study evidence

Overall burden of the 406 rare diseases in the population.1.7% (1.05 million of 62.5 million)

“We conducted a cross-sectional study within the National Health Service (NHS) England Secure Data Environment”
Claim 4 of 5SupportedIn Scientific Reports, researchers estimated the prevalence of 406 clinically curated rare diseases across ethnic groups in England and described recorded COVID-19 infection rates among people with these conditions.View evidenceHide evidence

As stated406 clinically curated rare diseases; 62.5 million people in England

Why this verdict

Supported. The profile states that the Scientific Reports study estimated prevalence of 406 rare diseases in England across ethnicity classifications and described recorded COVID-19 infection rates among people with rare diseases, using a linked NHS population of about 62.5 million people.

1

Study evidence

Overall burden of the 406 rare diseases in the population.1.7% (1.05 million of 62.5 million)

“We conducted a cross-sectional study within the National Health Service (NHS) England Secure Data Environment”
2

Study evidence

Overall recorded COVID-19 infection was higher among people with any of the 406 rare diseases than among people without (32.8% vs 29.0%).32.8% vs 29.0%

“and to describe recorded COVID-19 infection across these RD and ethnic groups”
Claim 5 of 5SupportedRecorded COVID-19 infection was 32.8% among individuals with rare diseases versus 29.0% among those without rare diseases, and rates varied by ethnicity and disease.View evidenceHide evidence

As stated32.8% vs 29.0%

Why this verdict

Supported. The profile reports recorded COVID-19 infection was higher in the rare-disease group than in the non-rare-disease population, 32.8% versus 29.0%, and that rates varied by ethnicity and by specific rare disease.

1

Study evidence

Overall recorded COVID-19 infection was higher among people with any of the 406 rare diseases than among people without (32.8% vs 29.0%).32.8% vs 29.0%

“and to describe recorded COVID-19 infection across these RD and ethnic groups”
Then look for missing context

Context layer

What the story left out

Important study details the story did not include.

  • The prevalence estimates were age- and sex-standardised.

    The supplied story presentation describes prevalence estimation but does not state that the paper calculated age- and sex-standardised prevalence. This is a material methodological detail for interpreting ethnic-group comparisons.

    From Cross-sectional EHR-linked prevalence study

  • Rare-disease ascertainment depended on coded electronic health-record data and phenotyping definitions, so coding completeness and recording practices may affect measured prevalence.

    The abstract-level profile flags EHR coding and phenotyping completeness as a caveat, but the story caveats supplied here do not mention possible under-ascertainment or coding completeness for rare-disease diagnoses.

    From Cross-sectional EHR-linked prevalence study

  • The paper frames the ethnicity-resolved prevalence estimates as a baseline resource to support earlier, fairer diagnosis and more targeted care.

    This discussion-level implication is present in the paper profile, but the supplied story presentation focuses on prevalence heterogeneity and COVID-19 infection patterns rather than the authors’ stated baseline-resource/targeted-care framing.

    From Cross-sectional EHR-linked prevalence study; Cross-sectional descriptive analysis of linked electronic health records

7 things the story did carry across
  • The paper’s central prevalence analysis estimated national rare-disease prevalence for 406 clinically curated conditions in England and examined variation by ethnicity using broad ONS 6-group and granular NHS 19-group classifications.
  • The study used a cross-sectional design in linked NHS electronic health records, including primary care, hospital, and mortality records for individuals alive on 31 July 2023.
  • The study population was about 62.5 million people in England, with about 1.05 million, or 1.7%, having at least one of the selected 406 rare diseases.
  • Granular ethnicity categories revealed heterogeneity in rare-disease prevalence that could be obscured by broad ethnic groupings.
  • The paper described recorded COVID-19 infection rates among people with rare diseases versus those without, and variation by ethnicity and specific rare disease.
  • Recorded COVID-19 infection is based on positive tests/records and may not represent all true infections or equal testing and recording across groups.
  • The analyses are descriptive/cross-sectional and do not establish causation; demographic comparisons are not adjusted for all potential confounders beyond the standardisation described in the abstract.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

2

Evidence read

study summary

Lead result

secondary data

1Lead resultsecondary dataEstimate national prevalence (age- and sex-standardised) of 406 rare diseases in England and characterize variation by ethnicity using both broad (ONS 6-group) and granular (NHS 19-group) ethnicity classifications.Cross-sectional EHR-linked prevalence studyExpand

In plain English

Cross-sectional, national linked-EHR study estimating age- and sex-standardised prevalence of 406 rare diseases in England (population alive on 31 July 2023) and describing recorded COVID-19 infection rates by ethnicity using both ONS 6-group and NHS 19-group classifications.

Key findings

  • Overall burden of the 406 rare diseases in the population.1.7% (1.05 million of 62.5 million)
  • Recorded COVID-19 infection was higher in people with rare diseases than in those without.32.8% vs 29.0%
“We conducted a cross-sectional study within the National Health Service (NHS) England Secure Data Environment”
2secondary dataDescribe and compare recorded COVID-19 infection rates among people with (any of) the 406 rare diseases versus those without, and examine heterogeneity by ethnicity and by specific rare disease.Cross-sectional descriptive analysis of linked electronic health recordsExpand

In plain English

Cross-sectional analysis of recorded COVID-19 infection rates in a national linked NHS cohort, comparing people with any of 406 rare diseases (RD) to those without, and describing variation by specific RD and by ethnic group using ONS 6-group and NHS 19-group classifications.

Key findings

  • Overall recorded COVID-19 infection was higher among people with any of the 406 rare diseases than among people without (32.8% vs 29.0%).32.8% vs 29.0%
  • Within the rare-disease population, recorded COVID-19 infection rates varied by ethnicity, with examples reported as 27.7% in the Pakistani group, 23.8% in the Black African group, and 33.7% in the White British group.Examples: 27.7% (Pakistani); 23.8% (Black African); 33.7% (White British)
“and to describe recorded COVID-19 infection across these RD and ethnic groups”
Finally, the search trail

Method layer

NewsLink found the paper. Tessa takes you deeper.

NewsLink checks the story. Tessa is where you inspect the paper, authors, evidence, and research context.

Open the paper in Tessa

Prevalence of 406 rare diseases by ethnicity and recorded COVID-19 infection rates among 62.5 million people in England

Scientific Reports · 2026

Source record (opens in a new tab)

Why this one

Near certain

NewsLink found the paper. Tessa is where you inspect it deeply.

Papers considered

The selected paper, plus nearby candidates.

Crossref, PubMed, Europe PMC · 41 candidate papers

Selected

Prevalence of 406 rare diseases by ethnicity and recorded COVID-19 infection rates among 62.5 million people in England

Scientific Reports · 2026 · Crossref

Source (opens in a new tab)
Candidate

Author Correction: N-mixture models with camera trap imagery produce accurate abundance estimates of ungulates

Scientific Reports · 2026 · Crossref

Source (opens in a new tab)

And 35 more candidates considered.