Cohort studyindependent cross-checkfull text checked★ key study I-ABX-03 in-depth review

Antibiotics and asthma: sibling comparison (Sweden)

Antibiotics in fetal and early life and subsequent childhood asthma: nationwide population based study with sibling analysis.

Overview

Örtqvist AK et al.. BMJ 2014 · PMID 25432937 · DOI 10.1136/bmj.g6979

When siblings were compared, most of the antibiotic-asthma link disappeared.

Does the study support the specific claim? No · Methodological quality: high

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

Test confounding.

How was the study done?

Sibling analysis.

How many people, animals or samples were studied?

493,785 children.

What was actually found?

Fetal antibiotic exposure: HR 1.28 in the whole cohort, 0.99 when comparing siblings. Antibiotics for urinary/skin infections: 1.54 vs 0.85 in siblings. Antibiotics for respiratory infections remained linked (2.36 in siblings), likely because of the infections themselves.

How large was the observed effect?

Fetal HR 0.99 in siblings.

What do the results mean in everyday life?

Antibiotics probably not the main cause.

What are the study's limitations?

Reason for prescriptions not recorded; short follow-up (to about age 6); fewer informative sibling pairs for some comparisons.

What does it say about Elawady's specific claim?

Contradicts causal claim.

Do the results apply to Germany and Europe?

High.

What can explicitly not be concluded from this study?

That antibiotics cause asthma; a small effect cannot be fully excluded.

Scientific in-depth review

1. Full reference

Authors
Örtqvist AK et al.
Journal
BMJ
Year
2014
Identifier
PMID 25432937 DOI 10.1136/bmj.g6979
Verification
verified – PubMed efetch 2026-10-25
Retracted
no
Corrections

ErratumIn: BMJ. 2014;349:g7395

Extent checked
full text
Conflicts of interest and funding

Funding: Swedish Research Council (2011-3060) via SIMSAM (80748301, 340-2013-5867), Stockholm County Council (ALF), Karolinska Institutet epidemiology programme, Swedish Heart Lung Foundation; funders had no role. Competing interests: HK received institutional fees from RTI Health Solutions and several pharmaceutical companies for post-approval safety studies outside the submitted work.

2. Research question

Is the antibiotic-asthma association confounded?

3. Study design and population

Study design
Cohort study – Nationwide prospective register-based birth cohort with sibling-control analysis (stratified Cox model conditional on sibling group)
Population

Children born in Sweden 2006-2010 to pregnancies starting from 1 July 2005, followed to end of 2011 (school age at most)

Country

Sweden

Period

Pregnancies July 2005-December 2010; follow-up to 31 December 2011

Sample size

493,785 children in cohort analyses; 180,894 in sibling analyses (93% two-child families); 6% developed asthma; 20% exposed in fetal life, 62% had >=1 childhood antibiotic prescription

Inclusion and exclusion criteria

Medical Birth Register linked to Multi-Generation, Prescribed Drug and Patient Registers; sibling analyses restricted to full siblings (9,896 excluded with unknown father)

4. Methods and endpoints

Exposure / intervention

Filled prescriptions of systemic antibiotics (ATC J01) in fetal life (by trimester) and childhood (by age band), grouped as any, airway (respiratory-infection) and urinary tract/skin antibiotics; number of prescriptions

Comparator

Unexposed children (cohort); unexposed siblings (sibling analysis)

Endpoints

Asthma: ICD-10 J45 diagnosis plus dispensed asthma drugs (inhaled corticosteroids, LTRA or combinations)

Statistical methods

Cox regression with attained age as time scale and sandwich SEs; stratified sibling Cox models; adjustment for maternal smoking, parity, family situation, maternal country of birth, parental education, maternal asthma (cohort only) and perinatal factors; sensitivity analyses (asthma from age 2 after first-year exposure, birth order, dose-response, Swedish-born mothers)

5. Actual results

Results

Fetal exposure: cohort adjusted HR 1.28 (95% CI 1.25-1.32) vs sibling HR 0.99 (0.92-1.07). Childhood any antibiotics, youngest age band: cohort HR 3.71 (3.41-4.03) vs sibling 2.11 (1.61-2.76). Airway antibiotics: cohort HR 4.12 (3.78-4.50) vs sibling 2.36 (1.78-3.13); urinary tract/skin antibiotics: cohort 1.54 (1.24-1.92) vs sibling 0.85 (0.47-1.55). First-year exposure and asthma from age 2: associations in cohort, none in sibling analyses for any antibiotic group. Hazard ratio for any/airway antibiotics fell from about 4 to 2 within 6 months after exposure. Dose-response persisted in sibling analyses for any and airway antibiotics but not for urinary tract/skin antibiotics.

Absolute risks

Overall asthma prevalence 6% in both cohorts; no absolute risk differences by exposure reported

Authors' conclusion

The association between antibiotics and asthma is likely caused by confounding factors shared within families, in addition to confounding by indication or reverse causation from respiratory infections; antibiotics might not cause asthma, but careful consideration is needed before treating respiratory symptoms with them.

6. Strengths

  • Nationwide population-based registers; prospective, objective exposure data (no recall bias)
  • Sibling design controls shared genetic and family factors
  • Antibiotic-type comparison (airway vs urinary/skin) as indication probe
  • Lag analysis (first-year exposure, asthma from age 2)
  • Validated asthma definition requiring diagnosis plus medication

7. Weaknesses

  • Indication (respiratory infection) not recorded; residual confounding by indication and reverse causation for airway antibiotics
  • Sibling analyses rely on exposure-discordant pairs; wider CIs (e.g. urinary/skin 0.47-1.55); sensitive to non-shared confounding and measurement error
  • Short follow-up (to age <=6); early childhood asthma diagnoses include wheezing phenotypes
  • Adherence and antibiotics prescribed abroad not captured
  • Cannot address allergic diseases other than asthma

8. Risk of bias

Orienting tool
ROBINS-E
Type of assessment
structured assessment based on the full text by a single reviewer (no formal double review)
Full formal assessment
no
Overall risk of bias
some concerns
Rationale

Single-reviewer structured ROBINS-E-oriented judgement based on the full text; not formal (needs two independent reviewers and a protocol). Changed from low to some_concerns because residual confounding by indication and short follow-up remain, although the design is strong for detecting familial confounding.

8. Risk of bias
DomainJudgementRationale
Confoundingsome concernsShared family confounding handled by sibling design; non-shared confounding by indication (respiratory infections) cannot be adjusted, as authors state.
Measurement of exposurelowDispensed prescriptions from national register; adherence unknown.
Selection of participantslowComplete national birth cohort; sibling subset defined by family structure.
Post-exposure interventionsnot applicableNot relevant.
Missing datalowRegister-based with few losses (4,922 emigrated, 1,448 died); complete-case for covariates.
Measurement of outcomesome concernsRegister diagnosis plus medication is specific, but asthma vs infection-related wheeze in young children is hard to distinguish.
Selection of reported resultlowComprehensive reporting of cohort and sibling estimates, crude and adjusted, with sensitivity analyses.

Full-text review (25 October 2026): Added follow-up to 2011, exposure prevalences, youngest-age HRs (3.71 vs 2.11), lag analysis showing no sibling association for first-year exposure and asthma from age 2, dose-response findings, funding/COI; bias overall changed from low to some_concerns (unadjustable confounding by indication, short follow-up).

9. Assessment of the statistical interpretation

Attenuation of fetal-exposure HR from 1.28 to 0.99 within siblings is strong evidence of familial confounding; the remaining airway-antibiotic association (HR 2.36) is most plausibly explained by indication/reverse causation, as it disappears with a lag (asthma from age 2) and is absent for urinary/skin antibiotics.

10. Relevance to the specific claim

C-ABX-06 (contradicts causation).

11. Independent contrary findings

12. Transferability to Germany and Europe

High.

13. Overall methodological judgement

Key study showing that much of the antibiotic-asthma association is explained by family factors and by the infections being treated; it does not support a causal effect of antibiotics on asthma, while not fully excluding a small effect.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualityhigh
Risk of biassome concerns
Precision of resultshigh
Directnessdirect
Reproducibilitypartly replicated
Consistency with the overall evidencemixed
Regional transferabilityhigh
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Longer follow-up into later childhood; other allergic outcomes; settings with different prescribing.

15. Linked fact checks