Evidence map›Paper›PMID 25213079›Full record

ArticleDigestive diseases and sciences2015

Mode of childbirth and long-term outcomes in women with inflammatory bowel diseases.

Ashwin N Ananthakrishnan, Alice Cheng, Andrew Cagan, Tianxi Cai, Vivian S Gainer, Stanley Y Shaw, Susanne Churchill, Elizabeth W Karlson, Shawn N Murphy, Isaac Kohane and 1 more

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Digestive diseases and sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Predictors of Cesarean Delivery in Pregnant Women with Inflammatory Bowel Disease.Journal of the Canadian Association of Gastroenterology · 2018
    Article
  5. Article
  6. Management of Inflammatory Bowel Disease During Pregnancy.Digestive diseases and sciences · 2016
    Review
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

11 authors at 5 institutions in 2 countries.

Ashwin N AnanthakrishnanDivision of Gastroenterology, Crohn's and Colitis Center, Massachusetts General Hospital, 165 Cambridge Street, 9th Floor, Boston, MA, 02114, USA, aananthakrishnan@mgh.harvard.edu.
Alice Cheng
Andrew Cagan
Tianxi Cai
Vivian S Gainer
Stanley Y Shaw
Susanne Churchill
Elizabeth W Karlson
Shawn N Murphy
Isaac Kohane
Katherine P Liao
Brigham and Women's Hospital · USHarvard University · USMassachusetts General Hospital · USMass General Brigham · USCenter for Systems Biology · US

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Trial of risk mangement for prevention of accelerated atherosclerosis in SLEP60AR047782 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SOLOMON, DANIEL HAL · 2001 to 2016
$18.8M
Novel Biomarkers and Prediction Models for Rheumatoid ArthritisR01AR049880 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H, KARLSON, ELIZABETH W · 2003 to 2018
$8.7M
Genetic Predictors of Early Atherosclerosis in SLEK24AR052403 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI KARLSON, ELIZABETH W · 2005 to 2014
$1.5M
Genetic predictors of anti-TNF treatment response and infections in IBDK23DK097142 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI ANANTHAKRISHNAN, ASHWIN N · 2012 to 2016
$846k
Genetic Risk Factors for Coronary Artery Disease in Rheumatoid ArthritisK08AR060257 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI LIAO, KATHERINE PHOENIX · 2011 to 2015
$649k
NIAMS NIH HHS K08 AR060257NIAMS NIH HHS K24 AR052403NIAMS NIH HHS P60 AR047782NIAMS NIH HHS R01 AR049880NIDDK NIH HHS K23 DK097142NLM NIH HHS U54 LM008748NLM NIH HHS U54-LM008748
6 · The paper itself

Abstract

introductionInflammatory bowel diseases [IBD; Crohn's disease (CD), ulcerative colitis] often affect women in their reproductive years. Few studies have analyzed the impact of mode of childbirth on long-term IBD outcomes.

methodsWe used a multi-institutional IBD cohort to identify all women in the reproductive age-group with a diagnosis of IBD prior to pregnancy. We identified the occurrence of a new diagnosis code for perianal complications, IBD-related hospitalization and surgery, and initiation of medical therapy after either a vaginal delivery or caesarean section (CS). Cox proportional hazards models adjusting for potential confounders were used to estimate independent effect of mode of childbirth on IBD outcomes.

resultsOur cohort included 360 women with IBD (161 CS). Women in the CS group were likely to be older and more likely to have complicated disease behavior prior to pregnancy. During follow-up, there was no difference in the likelihood of IBD-related surgery (multivariate hazard ratio 1.75, 95 % confidence interval (CI) 0.40-7.75), IBD-related hospitalization (HR 1.39), initiation of immunomodulator therapy (HR 1.45), or anti-TNF therapy (HR 1.11). Among the 133 CD pregnancies with no prior perianal disease, we found no excess risk of subsequent new diagnosis perianal fistulae with vaginal delivery compared to CS (HR 0.19, 95 % CI 0.04-1.05).

conclusionsMode of delivery did not influence natural history of IBD. In our cohort, vaginal delivery was not associated with increased risk of subsequent perianal disease in women with CD.

Indexed as

ParturitionAdolescentAdultBostonCesarean SectionChi-Square DistributionColitis, UlcerativeCrohn DiseaseDelivery, ObstetricDigestive System Surgical ProceduresDisease ProgressionFemaleHumansImmunologic FactorsKaplan-Meier EstimateMiddle AgedImmunologic Factors

Identifiers

PMID25213079
PMCPMC4304947
OpenAlexW2011444691

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.