Low birth weight (< 2500g)

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.
Choi b, 2023 Low birth weight (perinatal weight <2.5 kg) during pregnancy (anytime or not specified) retrospective cohort (claims database) unexposed, sick Adjustment: Yes 0.93 [0.86;1.01] 726/12,868   104,056/2,121,323 104,782 12,868
Total 1 studies 0.93 [0.86;1.01] 104,782 12,868
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 Choi b, 2023Choi b, 2023 0.93[0.86; 1.01]104,78212,8680%ROB confusion: seriousROB selection: lowROB classification: moderateROB missing: unclearROB mesure: moderateROB reporting: moderate0.22.01.0ROB: A: confusion, B: selection, C: classification, D: missing, E: measurement, F: reportinglow,moderate,serious,critical,unclear,

Sensitivity analysis

SubsetTE95% CIn casesn exposedkI2 Type of studies cohort studiescohort studies 0.93[0.86; 1.01]104,78212,868 -NAChoi b, 2023 1 case control studiescase control studies 0 Type of controls unexposed, sickunexposed, sick 0.93[0.86; 1.01]104,78212,868 -NAChoi b, 2023 1 Tags Adjustment   - Yes  - Yes 0.93[0.86; 1.01]104,78212,868 -NAChoi b, 2023 1 All studiesAll studies 0.93[0.86; 1.01]104,78212,868 -NAChoi b, 2023

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


Sub-groupsTE95% CIn casesn exposedkI2ROB type of controls unexposed, sick controlsunexposed, sick controls 0.93[0.86; 1.01]104,78212,868 -NAChoi b, 2023 10.510.01.0