Interferon beta (IFN-beta)

Small for gestational age (weight)

R analysis
id Study   Lib. in paper Exposition period    Study type 
 Control type 
 
Tags OR 95%CI x1/n1 x0/n0 no cases no exposed ROB Ref.
S3716
R7994		 Thiel (control unexposed, sick), 2016 Small for gestational age early pregnancy prospective cohort unexposed, sick Adjustment: Yes 0.81 [0.27;2.41] -/226   -/179 - 226
ref
Total 1 studies 0.81 [0.27;2.42] 0 226
x1: number of endpoints among exposed, n1: number of exposed; x0: number of endpoints among non exposed, n0: number of non exposed; C: calculated odds ratio from numbers of events and effectives

Forest plot

StudyTE95% CIn casesn exposedweightROBABCDEF Thiel (control unexposed, sick), 2016Thiel, 2016 1 0.81[0.27; 2.41]-2260%ROB confusion: NAROB selection: NAROB classification: NAROB missing: NAROB mesure: NAROB reporting: NA0.22.01.0ROB: A: confusion, B: selection, C: classification, D: missing, E: measurement, F: reportinglow,moderate,serious,critical,unclear,

1: control unexposed, sick;

Sensitivity analysis

SubsetTE95% CIn casesn exposedkI2 Type of studies cohort studiescohort studies 0.81[0.27; 2.42]-226 -NAThiel (control unexposed, sick), 2016 1 case control studiescase control studies 0 Type of controls unexposed, sickunexposed, sick 0.81[0.27; 2.42]-226 -NAThiel (control unexposed, sick), 2016 1 Tags Adjustment   - Yes  - Yes 0.81[0.27; 2.42]-226 -NAThiel (control unexposed, sick), 2016 1 All studiesAll studies 0.81[0.27; 2.42]-226 -NAThiel (control unexposed, sick), 2016 10.210.01.0

Publication bias and p-hacking diagnosis

funnel plot

Funnel plot not drawn. Less than 3 points.

Asymetry test p-value = NaN (by Egger's regression)

not enought points

p values plot

Funnel plot not drawn. Less than 3 points.

Sub-groups analysis using all included studies

excluded

Sub-groupsTE95% CIn casesn exposedkI2ROB type of controls unexposed, sick controlsunexposed, sick controls 0.81[0.27; 2.42]-226 -NAThiel (control unexposed, sick), 2016 10.510.01.0