The relationship between asthma and glioma: a case-control study in a universal access healthcare system - Scorecard - MDSpire

The relationship between asthma and glioma: a case-control study in a universal access healthcare system

  • By

  • Bytnar, Julie A.

  • Robins, Kimberly R.

  • Theeler, Brett J.

  • Shriver, Craig D.

  • Zhu, Kangmin

  • March 10, 2026

  • 0 min

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Clinical Scorecard: Examining the Link Between Asthma and Glioma: Findings from a Case-Control Study in a Universal Healthcare Setting

At a Glance

CategoryDetail
ConditionMalignant glioma and asthma
Key MechanismsAsthma-associated immune response, particularly elevated IgE levels, may enhance immune effector cell function protecting against pre-cancerous cells
Target PopulationDepartment of War Military Health System beneficiaries including active-duty servicemembers, retirees, and dependents
Care SettingUniversal healthcare setting within the Military Health System

Key Highlights

  • Malignant gliomas are the most common and deadly malignant brain tumors with poorly understood etiology beyond genetic factors and ionizing radiation.
  • Previous studies on asthma and glioma risk have methodological limitations including reliance on self-reported asthma and potential detection bias.
  • This study used medical record-confirmed asthma diagnoses and matched controls to reduce recall and detection biases, leveraging a large universal healthcare database.

Guideline-Based Recommendations

Diagnosis

  • Use medical records and ICD codes to confirm asthma diagnosis rather than self-report to reduce misclassification.
  • Diagnose glioma using pathology confirmation and ICD-O-3 morphology and topography codes.

Management

  • No direct management recommendations for asthma or glioma from this study; focus is on epidemiological association.

Monitoring & Follow-up

  • Consider potential detection bias in patients with asthma due to increased medical surveillance when monitoring for glioma.

Risks

  • Ionizing radiation is a recognized risk factor for malignant glioma.
  • Potential misclassification and detection biases can affect assessment of asthma’s association with glioma risk.

Patient & Prescribing Data

DoW Military Health System beneficiaries with universal healthcare access

Not applicable; study focused on epidemiological association rather than treatment outcomes.

Clinical Best Practices

  • Confirm asthma diagnosis using objective medical records and ICD coding to minimize recall bias.
  • Use matched controls including MRI-negative controls to reduce detection bias in case-control studies of glioma.
  • Interpret epidemiological associations cautiously considering potential biases and sample size limitations.

References

Original Source(s)

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