Evidence map›Paper›PMID 39047678›Full record

ArticleJournal of minimal access surgery2024

The access and invasiveness-based classification of medical procedures to clarify non-invasive from different forms of minimally invasive and open surgery.

Mark Steven Whiteley, Sienna Esme Davey, Gabriel Mark Placzek

Abstract read
In one paragraph

Article in Journal of minimal access surgery, 2024. 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.

Mark Steven WhiteleyThe Whiteley Clinic, Guildford, UK.
Sienna Esme Davey
Gabriel Mark Placzek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid development of less invasive and traumatic medical procedures has resulted in a mixture of terms used to describe them, without any agreed definition for each. This is confusing to both medical professionals and patients and can lead to unrealistic patient expectations. The aim of this article is to show the current confused nomenclature and to suggest a new, simple classification based on access and invasiveness (AI) that can be applied to any medical procedure.

methodsWe performed an online search for definitions for 'non-invasive', 'non-surgical', 'minimally invasive', 'minimal access', 'pinhole' and 'keyhole'. We then searched peer-reviewed medical papers (PRMPs) and patient facing websites (PFWs) for the following index procedures, to see which of the original 6 terms were used to describe them: transvaginal ultrasound, sclerotherapy for leg veins, botulinum toxin injections, dermal fillers, endovenous thermal ablation and laparoscopic gall bladder removal.

resultsWe found a wide variety of definitions for each of the initial terms. In both PRMPs and PFWs, there were a variety of terms used for each index procedure (i.e.: transvaginal ultrasound, injections of sclerotherapy, botulinum toxin or dermal fillers being both 'non-invasive' and 'minimally invasive') showing confusion in the classification of procedures. We suggested the 'AI classification' based on access (A - none, B - natural orifice or C - penetrating an epithelial surface) and invasiveness (1 - none, 2 - surface damage, 3 - needle = <21G, 4 - cannula >21G but not a surgical trocar, 5 - surgical trocars or small incisions and 6 - incisions).

conclusionThe current confusion of terms used for procedures that are less invasive than the open surgical alternatives leads to confusion and possible false patient expectations. We have proposed an AI classification that can be applied easily to any procedure, giving a uniform classification for medical professionals and patients to understand.

Identifiers

PMID39047678
PMCPMC11354956

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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.