Evidence map›Paper›PMID 37408022›Full record

ArticleBMC surgery2023

Investigation of frailty markers including a novel biomarker panel in emergency laparotomy: protocol of a prospective cohort study.

Hwei Jene Ng, Tara Quasim, Nicholas J W Rattray, Susan Moug

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05416047 (An Investigation of Frailty Markers and Outcomes in Patients Requiring Emergency Laparotomy), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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.

NCT05416047 unknown statusnot on this map

An Investigation of Frailty Markers and Outcomes in Patients Requiring Emergency Laparotomy

TypeobservationalSponsorNHS Greater Glasgow and ClydeRan2022 to 2024Enrolled150ConditionsFrailty, Surgery, Sarcopenia
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 4 institutions in 1 country.

Hwei Jene NgSchool of Medical, Veterinary & Life Sciences (MVLS), University of Glasgow, Glasgow, UK. hweijene.ng@ggc.scot.nhs.uk.
Tara QuasimDepartment of Intensive Care Medicine, Glasgow Royal Infirmary, NHS Greater Glasgow and Clyde, Glasgow, UK.
Nicholas J W RattrayStrathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde, Glasgow, G4 0RE, UK.
Susan MougDepartment of General Surgery, Royal Alexandra Hospital, NHS Greater Glasgow and Clyde, Corsebar Road, Paisley, PA2 9PN, UK.
NHS Greater Glasgow and Clyde · GBRoyal Alexandra Hospital · GBUniversity of Glasgow · GBUniversity of Strathclyde · GB

Funding

Association of Surgeons of Great Britain and Ireland/ GUTS UK Surgical research award 2022NHS Greater Glasgow and Clyde Endowments Management Committee CV/BOB/EMC/FEB07Royal College of Surgeons of Edinburgh SPPG/21/160
6 · The paper itself

Abstract

backgroundEmergency laparotomy (EmLAP) is one of the commonest emergency operations performed in the United Kingdom (approximately 30, 000 laparotomies annually). These potentially high-risk procedures can be life changing with frail patients and/ or older adults (≥ 65 years) having the poorest outcomes, including mortality. There is no gold standard of frailty assessment and no clinical chemical biomarkers existing in practice. Early detection of subclinical changes or deficits at the molecular level are essential in improving our understanding of the biology of frailty and ultimately improving patient outcomes. This study aims primarily to compare preoperative frailty markers, including a blood-based biomarker panel, in their ability to predict 30 and 90-day mortality post-EmLAP. The secondary aim is to analyse the influence of perioperative frailty on morbidity and quality of life post-EmLAP.

methodsA prospective single centred observational study will be conducted on 150 patients ≥ 40 years of age that undergo EmLAP. Patients will be included according to the established NELA (National Emergency Laparotomy Audit) criteria. The variables collected include demographics, co-morbidities, polypharmacy, place of residence, indication and type of surgery (as per NELA criteria) and prognostic NELA score. Frailty will be assessed using: a blood sample for ultra-high performance liquid chromatography mass spectrometry analysis; preoperative CT abdomen pelvis (sarcopenia) and Rockwood Clinical Frailty Scale (CFS). Patients will be followed up for 90 days. Variables collected include blood samples (at post operative day 1, 7, 30 and 90), place of residence on discharge, morbidity, mortality and quality of life (EQ-5D-5 L). The frailty markers will be compared between groups of frail (CFS ≥ 4) and non-frail using statistical methods such as regression model and adjusted for appropriate confounding factors. DISCUSSION: This study hypothesises that frailty level changes following EmLAP in frail and non- frail patients, irrespective of age. We propose that non- frail patients will have better survival rates and report better quality of life compared to the frail. By studying the changes in metabolites/ biomarkers in these patients and correlate them to frailty status pre-surgery, this highly novel approach will develop new knowledge of frailty and define a new area of clinical biomolecular research.

trial registrationClinicalTrials.gov: NCT05416047. Registered on 13/06/2022 (retrospectively registered).

Indexed as

FrailtyAgedBiomarkersFrail ElderlyHumansLaparotomyObservational Studies as TopicProspective StudiesQuality of LifeBiomarkersClinical Frailty ScaleEmergency laparotomyFrailty biomarkersMass spectrometrySarcopenia

Identifiers

PMID37408022
PMCPMC10321009
OpenAlexW4383225063

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.