Evidence map›Paper›PMID 32671310›Full record

ArticleInternational journal of surgery protocols2020

The use of intra-operative tranexamic acid in shoulder surgery: Protocol for a systematic review and meta-analysis.

Alexander W Hartland, Kar H Teoh, Mustafa S Rashid

Abstract read
In one paragraph

Article in International journal of surgery protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Alexander W HartlandTrauma and Orthopaedics, Princess Alexandra Hospital, Hamstel Road, Harlow, Essex CM20 1QX, UK.
Kar H TeohTrauma and Orthopaedics, Princess Alexandra Hospital, Hamstel Road, Harlow, Essex CM20 1QX, UK.
Mustafa S RashidNuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, Windmill Road, Oxford OX3 7LD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBlood loss is an important consideration in all types of shoulder surgery. Excessive bleeding is associated with increased morbidity. Tranexamic acid (TXA) is an antifibrinolytic agent. It has been demonstrated to be effective in reducing blood loss across multiple surgical specialties. The aim of this systematic review and meta-analysis is to review the literature evaluating clinical outcomes associated with the use of TXA in shoulder surgery.

methodsThe study protocol was designed and registered prospectively on PROSPERO (International prospective register for systematic reviews). Literature search will include the MEDLINE, EMBASE, PsycINFO, and Cochrane Library databases. Randomised controlled trials (RCTs) evaluating the use of TXA against placebo, in all types of shoulder surgery, will be included. Our primary outcome is total blood loss (ml). Secondary outcomes include patient-reported outcome measures (PROMs), adverse events, and number of blood transfusions required. Risk of bias will be assessed within each study using The Cochrane Risk of Bias Tool 2.0 and the Jadad score. Inconsistency and bias across included studies will be assessed statistically. Data from comparable outcomes will be pooled and analysed quantitatively or descriptively as appropriate. ETHICS AND DISSEMINATION: No ethical clearances required for this study. This systematic review and meta-analysis will be published in a peer-reviewed journal. It will be presented a various national and international conferences.

Indexed as

Meta-analysisProtocolShoulder surgerySystematic reviewTranexamic acidTXA

Identifiers

PMID32671310
PMCPMC7338573

What OpenQuestion holds

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Registered trials

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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.