Evidence map›Paper›PMID 31168704›Full record

SynthesisSurgical endoscopy2019

Evaluating the impact of image guidance in the surgical setting: a systematic review.

James Dilley, Mafalda Camara, Ismail Omar, Alex Carter, Philip Pratt, Justin Vale, Ara Darzi, Erik K Mayer

Abstract readSystematic Review
In one paragraph

Synthesis in Surgical endoscopy, 2019. 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
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.

  1. Article
  2. A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance.IEEE open journal of engineering in medicine and biology · 2024
    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

8 authors.

James DilleyDepartment of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.
Mafalda CamaraDepartment of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.
Ismail OmarDepartment of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.
Alex CarterDepartment of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.
Philip PrattDepartment of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.
Justin ValeDepartment of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.
Ara DarziDepartment of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.
Erik K MayerDepartment of Surgery and Cancer, Imperial College London, London, W2 1NY, UK. e.mayer@imperial.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImage guidance has been clinically available for over a period of 20 years. Although research increasingly has a translational emphasis, overall the clinical uptake of image guidance systems in surgery remains low. The objective of this review was to establish the metrics used to report on the impact of surgical image guidance systems used in a clinical setting.

methodsA systematic review of the literature was carried out on all relevant publications between January 2000 and April 2016. Ovid MEDLINE and Embase databases were searched using a title strategy. Reported outcome metrics were grouped into clinically relevant domains and subsequent sub-categories for analysis.

resultsIn total, 232 publications were eligible for inclusion. Analysis showed that clinical outcomes and system interaction were consistently reported. However, metrics focusing on surgeon, patient and economic impact were reported less often. No increase in the quality of reporting was observed during the study time period, associated with study design, or when the clinical setting involved a surgical specialty that had been using image guidance for longer.

conclusionsPublications reporting on the clinical use of image guidance systems are evaluating traditional surgical outcomes and neglecting important human and economic factors, which are pertinent to the uptake, diffusion and sustainability of image-guided surgery. A framework is proposed to assist researchers in providing comprehensive evaluation metrics, which should also be considered in the design phase. Use of these would help demonstrate the impact in the clinical setting leading to increased clinical integration of image guidance systems.

Indexed as

Surgery, Computer-AssistedData AccuracyHumansOutcome Assessment, Health CareTranslational Research, BiomedicalClinicalFrameworkImage guidanceMetricsSurgery

Identifiers

PMID31168704
PMCPMC6684543

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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.