Evidence map›Paper›PMID 18335207›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2008

Survival curve and factors related to drainage during the first 24 h after total knee arthroplasty.

Oscar Ares-Rodriguez, Alejandro Hernadez Martinez, Alberto Hernandez Fernandez, Enric Castellet, Antonio Navarro Quilis

Abstract read
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In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 84% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Knee arthroplasty and bleeding: when to remove drainages.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2013
    Article
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

5 authors at 1 institution in 1 country.

Oscar Ares-RodriguezHospital Vall d'Hebron, Pg Vall d'Hebron 119-129, Traumatología 2a planta, 08035, Barcelona, Spain. oscarares77@gmail.com
Alejandro Hernadez Martinez
Alberto Hernandez Fernandez
Enric Castellet
Antonio Navarro Quilis
Vall d'Hebron Hospital Universitari · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Routine use of drains in total knee arthroplasty (TKA) is controversial. The aim of this study is to define the hourly risk of bleeding in the first 24 h following TKA using a survival study, to detect factors that might modify this risk, and establish a predictive model. In a retrospective study including 112 knees, patients with a coagulation disorder, platelet disease, or anticoagulation treatment were excluded. The risk factors studied included anesthesia score of the American society of anesthesiologists (ASA), proteinemia, total volume of fluid drained, and the use of low molecular weight heparin. The Kaplan-Meier test, Mantel-Haenszel test, and Cox regression analysis were used for the statistical calculations. The results indicate that the drains used in TKA can be removed within the first 18 h with a high degree of safety and low risk of persistent bleeding. The evolution of postoperative bleeding was independent of the factors studied.

Indexed as

Arthroplasty, Replacement, KneeDrainageAgedAnticoagulantsBlood VolumeEnoxaparinFemaleHeparin, Low-Molecular-WeightHumansMalePostoperative HemorrhageProportional Hazards ModelsRetrospective StudiesRiskTime FactorsVenous ThrombosisAnticoagulantsbemiparinEnoxaparinHeparin, Low-Molecular-Weight

Identifiers

PMID18335207
OpenAlexW2058065817

What OpenQuestion holds

Textmetadata
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.