Evidence map›Paper›PMID 27630744›Full record

ReviewObstetric medicine2016

The use of retrievable inferior vena cava filters in pregnancy: Another successful case report, but are we actually making a difference?

Lodewyk E Du Plessis, Ben W Mol, John M Svigos

Open access · greenAbstract readReview
In one paragraph

Review in Obstetric medicine, 2016. 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
0.8field-weighted citation impact, top 26% 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. Inferior vena cava filters in pregnancy: Safe or sorry?Frontiers in cardiovascular medicine · 2022
    Review
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

3 authors at 2 institutions in 1 country.

Lodewyk E Du PlessisWomen's and Babies Division, Women's and Children's Hospital, North Adelaide, SA, Australia.
Ben W MolDiscipline of Obstetrics and Gynaecology, University of Adelaide, SA, Australia; The Robinson Research Institute, School of Paediatrics and Reproductive Health, University of Adelaide, SA, Australia.
John M SvigosWomen's and Babies Division, Women's and Children's Hospital, North Adelaide, SA, Australia; Discipline of Obstetrics and Gynaecology, University of Adelaide, SA, Australia.
Women's and Children's Hospital · AUUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnant women with venous thromboembolism are traditionally managed with anticoagulation, but inferior vena cava filters are an alternative. We balanced risks and benefits of an inferior vena cava filter in a decision analysis.

methodsWe constructed a decision model to compare in pregnant women with VTE the outcome of (1) inferior vena cava filter and anticoagulant treatment versus (2) anticoagulant treatment only.

resultsAssuming a 63% risk reduction from an inferior vena cava filter (baseline mortality rate of venous thromboembolism of 0.5%), 318 women would need to be treated with inferior vena cava filters to prevent one venous thromboembolism related maternal death. Sensitivity analyses indicated that at a mortality rate of 0.5% the risk reduction from inferior vena cava filters needed to be 80%, while at a mortality rate of 2% a risk reduction of 20% would justify inferior vena cava filters.

conclusionsIn view of their potential morbidity, inferior vena cava filters should be restricted to pregnant woman at strongly increased risk of recurrent venous thromboembolism.

Indexed as

clinical decision analysisinferior vena cava filtersPregnancyvenous thromboembolism

Identifiers

PMID27630744
PMCPMC5010122
OpenAlexW2378794261

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.