Question · asked by 1 review

Anti‐vascular endothelial growth factor therapy combined with laser/cryotherapy vs conventional laser/cryotherapy: Recurrence of ROP by 55 weeks' PMA

Anti‐vascular endothelial growth factor therapy combined with… may leads to lower recurrence of ROP by 55 weeks' postmenstrual age compared with laser/cryotherapy (low certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Anti‐vascular endothelial growth factor therapy combined with laser/cryotherapy vs laser/cryotherapy
Recurrence of ROP by 55 weeks' postmenstrual age · preterm infants with type 1 ROP
Anti‐vascular endothelial growth factor therapy combined with… may leads to lower recurrence of ROP by 55 weeks' postmenstrual age compared with laser/cryotherapy (low certainty).
Anti‐vascular endothelial growth factor (VEGF) drugs for treatment of retinopathy of prematurity (2018) · Cochrane Headline outcomes only
RR 0.29 [0.12, 0.7]1 study · 76 participantsLow
Anti‐VEGF combined with laser/cryotherapy vs laser/cryotherapy
Recurrence of ROP by 55 weeks' PMA · preterm infants with type 1 ROP
Anti‐VEGF combined with laser/cryotherapy may leads to lower recurrence of ROP by 55 weeks' PMA compared with laser/cryotherapy (low certainty).
Anti‐vascular endothelial growth factor (VEGF) drugs for treatment of retinopathy of prematurity (2016) · Cochrane Headline outcomes onlyearlier version CD009734.PUB2, superseded
RR 0.29 [0.12, 0.7]1 study · 76 participantsLow

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Anti‐vascular endothelial growth factor (VEGF) drugs for treatment of retinopathy of prematurity
2018 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.