Question · asked by 0 reviews

Drain use vs No drain: Length of hospital stay

Drain use showed no clear difference in length of hospital stay compared with no drain use (moderate certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Drain use vs no drain use
Length of hospital stay · people undergoing elective open pancreatic resections
Drain use showed no clear difference in length of hospital stay compared with no drain use (moderate certainty).
Prophylactic abdominal drainage for pancreatic surgery (2018) · Cochrane Headline outcomes onlyearlier version CD010583.PUB4, superseded
no estimate extracted3 studies · 711 participantsModerate
Drain use vs no drain use
Length of hospital stay · people undergoing elective open pancreatic resections
Drain use showed no clear difference in length of hospital stay compared with no drain use (moderate certainty).
Prophylactic abdominal drainage for pancreatic surgery (2016) · Cochrane Headline outcomes onlyearlier version CD010583.PUB3, superseded
no estimate extracted3 studies · 711 participantsModerate
Drain use vs no drain use
Length of hospital stay · Patients undergoing elective open pancreatic resections
It is very uncertain whether drain use changes length of hospital stay compared with no drain use (very low certainty).
Prophylactic abdominal drainage for pancreatic surgery (2015) · Cochrane Headline outcomes onlyearlier version CD010583.PUB2, superseded
no estimate extracted2 studies · 316 participantsVery low

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Prophylactic abdominal drainage for pancreatic surgery
2021 · 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.