Evidence map›Paper›PMID 24305789›Full record

ArticleInternational orthopaedics2014

How to deal with lost to follow-up in total knee arthroplasty : a new method based on the competing risks approach.

Klaas-Auke Nouta, Bart G Pijls, Marta Fiocco, J Christiaan Keurentjes, Rob G H H Nelissen

Open access · bronzeAbstract read
In one paragraph

Article in International orthopaedics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Klaas-Auke NoutaDepartment of Orthopaedics, Leiden University Medical Center, Postal code J11R, P.O. Box 9600, 2300 RC, Leiden, The Netherlands, kanouta@hotmail.com.
Bart G Pijls
Marta Fiocco
J Christiaan Keurentjes
Rob G H H Nelissen
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to develop a more accurate method to deal with patients lost to follow-up based on the competing risks approach.

methodsA cohort of 112 patients who received 143 primary cemented total knee arthroplasties forms the basis for this study. Follow-up was up to 25 years. The new method for dealing with lost to follow-up accounts for competing events (i.e. death and failure of a prosthesis) using the cumulative incidence estimator and estimates time to event for patients lost to follow-up using national demographic registries. The results of this new method were compared with the worst case scenario estimated by Kaplan-Meier.

resultsSix different situations were identified covering all possible situations in long-term follow-up for total knee arthroplasty. The new method--considering all patients lost to follow-up as revised--showed a twofold reduction in revision rate compared to the traditional worst case scenario using Kaplan-Meier.

conclusionsLost to follow-up should be prevented whenever possible, but this may be unavoidable for long-term follow-up studies. In situations where lost to follow-up does occur, the new proposed method offers an efficient and valid approach to deal with this problem.

Indexed as

Arthroplasty, Replacement, KneeLost to Follow-UpAdultAgedAged, 80 and overDecision TreesFemaleHumansMaleMiddle Aged

Identifiers

PMID24305789
PMCPMC3997778
OpenAlexW2090592197

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.