Evidence map›Paper›PMID 37240939›Full record

ArticleJournal of personalized medicine2023

Prognostic Serum Biomarkers of Inflammaging in Patients Undergoing Emergency Laparotomy.

Michael George, Rajarshi Mukherjee

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2023. 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. 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

2 authors.

Michael GeorgeLiverpool EmerGenT Academy, Department of Emergency General and Major Trauma Surgery, Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, Lower Lane, Liverpool L9 7AL, UK.ORCID 0000-0002-5388-4634
Rajarshi MukherjeeLiverpool EmerGenT Academy, Department of Emergency General and Major Trauma Surgery, Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, Lower Lane, Liverpool L9 7AL, UK.ORCID 0000-0003-0982-7883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgeons are increasingly faced with an ageing and frail patient population. There is a significant absence of biomarkers capable of risk stratifying patients undergoing emergency laparotomy. Inflammaging describes a state of chronic inflammation associated with ageing and frailty that may predict worse outcomes after surgery. This retrospective observational study evaluated pre-morbid inflammatory markers in the prognostication of older adult patients undergoing emergency laparotomy. Patients aged ≥65 years undergoing surgery between 1 April 2017 and 1 April 2022 were identified. Pre-admission and acute C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), total white cell count (WCC), neutrophil count (NC) and lymphocyte count (LC) datapoints were captured. Pre-operative risk stratification scores and post-operative outcomes were recorded using the National Emergency Laparotomy Audit (NELA) database. A cohort of 196 patients was included: 57.7% were female, median age 74.5 years. High risk (NELA risk of mortality ≥ 5%) and frail (clinical frailty scale ≥ 4) patients experienced a significantly longer hospital and critical care stay (

Indexed as

biomarkersemergencyfrailtyinflammaginginflammationlaparotomyolder adultoutcomesprognosissurgery

Identifiers

PMID37240939
PMCPMC10219420

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.