Evidence map›Paper›PMID 39383482›Full record

ArticleNeurology2024

Cancer Risk Among Patients With Multiple Sclerosis: A 10-Year Nationwide Retrospective Cohort Study.

Chloe Pierret, Aurelien Mulliez, Christine Le Bihan-Benjamin, Xavier Moisset, Philippe-Jean Bousquet, Emmanuelle Leray

Abstract read
In one paragraph

Article in Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Comorbidity and modifiable risk factors in multiple sclerosis.Therapeutic advances in neurological disorders · 2026
    Review
  6. Article
  7. Article
  8. 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

6 authors.

Chloe PierretFrom the EHESP, CNRS, Inserm, ARENES UMR 6051, RSMS U 1309 (C.P., E.L.), Rennes University; Clermont-Ferrand University Hospital Center (A.M., X.M.); Survey, Data Science and Assessment Division (C.L.B.-B., P.-J.B.), French National Cancer Institute-InCA, Boulogne-Billancourt; and NeuroDol U1107 (X.M.), Clermont Auvergne University, Clermont-Ferrand, France.ORCID 0009-0006-2702-3343
Aurelien MulliezFrom the EHESP, CNRS, Inserm, ARENES UMR 6051, RSMS U 1309 (C.P., E.L.), Rennes University; Clermont-Ferrand University Hospital Center (A.M., X.M.); Survey, Data Science and Assessment Division (C.L.B.-B., P.-J.B.), French National Cancer Institute-InCA, Boulogne-Billancourt; and NeuroDol U1107 (X.M.), Clermont Auvergne University, Clermont-Ferrand, France.ORCID 0000-0002-9080-0444
Christine Le Bihan-BenjaminFrom the EHESP, CNRS, Inserm, ARENES UMR 6051, RSMS U 1309 (C.P., E.L.), Rennes University; Clermont-Ferrand University Hospital Center (A.M., X.M.); Survey, Data Science and Assessment Division (C.L.B.-B., P.-J.B.), French National Cancer Institute-InCA, Boulogne-Billancourt; and NeuroDol U1107 (X.M.), Clermont Auvergne University, Clermont-Ferrand, France.
Xavier MoissetFrom the EHESP, CNRS, Inserm, ARENES UMR 6051, RSMS U 1309 (C.P., E.L.), Rennes University; Clermont-Ferrand University Hospital Center (A.M., X.M.); Survey, Data Science and Assessment Division (C.L.B.-B., P.-J.B.), French National Cancer Institute-InCA, Boulogne-Billancourt; and NeuroDol U1107 (X.M.), Clermont Auvergne University, Clermont-Ferrand, France.ORCID 0000-0002-8799-0750
Philippe-Jean BousquetFrom the EHESP, CNRS, Inserm, ARENES UMR 6051, RSMS U 1309 (C.P., E.L.), Rennes University; Clermont-Ferrand University Hospital Center (A.M., X.M.); Survey, Data Science and Assessment Division (C.L.B.-B., P.-J.B.), French National Cancer Institute-InCA, Boulogne-Billancourt; and NeuroDol U1107 (X.M.), Clermont Auvergne University, Clermont-Ferrand, France.
Emmanuelle LerayFrom the EHESP, CNRS, Inserm, ARENES UMR 6051, RSMS U 1309 (C.P., E.L.), Rennes University; Clermont-Ferrand University Hospital Center (A.M., X.M.); Survey, Data Science and Assessment Division (C.L.B.-B., P.-J.B.), French National Cancer Institute-InCA, Boulogne-Billancourt; and NeuroDol U1107 (X.M.), Clermont Auvergne University, Clermont-Ferrand, France.ORCID 0000-0001-8424-4499

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesPrevious literature has been diverging on cancer risk in people with multiple sclerosis (PwMS). Therefore, this study compared the risk of cancer in PwMS and a matched sample from the French general population.

methodsThis 10-year nationwide retrospective matched cohort study (2012-2021) used data from the national French administrative health care database (99% coverage of the French population) to determine the time to the first incident cancer. PwMS were identified using their long-term disease (LTD) status, hospitalizations, and multiple sclerosis (MS)-specific drug reimbursements. The control population was matched 4:1 on age, sex, residence, insurance scheme, and cohort entry date. Participants were included if they had no history of cancer in the 3 years before inclusion. Patients with cancer were identified through LTD status, hospitalizations, chemotherapy, radiotherapy, or prostate cancer-specific drug reimbursements. Overall and cancer location-specific hazard ratios (HRs) for the first incident cancer were obtained from Fine and Gray models, and age- and sex-stratified estimates were reported. Participation in cancer screening through the 3 national programs (breast, colorectal, and cervical) were compared between groups.

resultsCancer incidence was 799 per 100,000 person-years (PYs) (n = 8,368) among the 140,649 PwMS and 736 per 100,000 PYs (n = 31,796) among the 562,596 matched controls (70.8% of women; follow-up: 7.6 ± 3.2 years). A small overall risk increase was observed for PwMS (HR 1.06, 95% CI 1.03-1.08), mostly in women (HR 1.08, 95% CI 1.05-1.11). Risk varied by cancer types and was lower for prostate (HR 0.80, 95% CI 0.73-0.88), breast (HR 0.91, 95% CI 0.86-0.95), and colorectal (HR 0.90, 95% CI 0.84-0.97) cancer and higher for bladder (HR 1.71, 95% CI 1.54-1.89), brain (HR 1.68, 95% CI 1.42-1.98), and cervical (HR 1.24, 95% CI 1.12-1.38) cancer in PwMS. Cancer risk was higher in PwMS younger than 55 years (HR 1.20, 95% CI 1.15-1.24) but decreased in PwMS aged 65 years and older (HR 0.89, 95% CI 0.85-0.94). This trend was found in all cancer locations. There were fewer PwMS getting screened than controls (all programs), with a particularly pronounced difference among those aged 65 years and older. DISCUSSION: Cancer risk was slightly increased in PwMS, particularly for urogenital cancers, possibly due to surveillance bias. Risk fluctuated depending on age, perhaps due to varying generational screening practices (i.e., diagnosis neglect in the older PwMS) and risk factors.

Indexed as

Multiple SclerosisNeoplasmsAdultAgedCohort StudiesFemaleFranceHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk FactorsYoung Adult

Identifiers

PMID39383482
PMCPMC11464044

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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.