Evidence map›Paper›PMID 31281756›Full record

ArticleCureus2019

C-reactive Protein is an Independent Predictor of Difficult Emergency Cholecystectomy.

Gordon C Gregory, Matta Kuzman, Jayaram Sivaraj, Alex P Navarro, Iain C Cameron, Glen Irving, Dhanwant Gomez

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

7 authors at 1 institution in 1 country.

Gordon C GregoryHepato-Pancreato-Biliary Surgery, Nottingham University Hospitals, Nottingham, GBR.
Matta KuzmanHepato-Pancreato-Biliary Surgery, Nottingham University Hospitals, Nottingham, GBR.
Jayaram SivarajHepato-Pancreato-Biliary Surgery, Nottingham University Hospitals, Nottingham, GBR.
Alex P NavarroHepato-Pancreato-Biliary Surgery, Nottingham University Hospitals, Nottingham, GBR.
Iain C CameronHepato-Pancreato-Biliary Surgery, Nottingham University Hospitals, Nottingham, GBR.
Glen IrvingHepato-Pancreato-Biliary Surgery, Nottingham University Hospitals, Nottingham, GBR.
Dhanwant GomezHepato-Pancreato-Biliary Surgery, Nottingham University Hospitals, Nottingham, GBR.
Nottingham University Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose The objective of this study was to identify variables that predict a difficult laparoscopic cholecystectomy performed in an emergency setting. The secondary aim was to devise a pathway for patients admitted acutely that required a cholecystectomy. Methods Patients admitted to the Emergency General Surgery Department at Nottingham, the United Kingdom that had an emergency cholecystectomy performed during the one-year period from May 2016 to June 2017 were identified. Collected data included patient demographics, clinical presentation, biochemical analysis, radiological findings, subsequent interventions, surgical data, and clinical outcome. A difficult cholecystectomy was defined as operative time >60 minutes, conversion to an open procedure, or sub-total cholecystectomy performed.  Results A total of 149 patients were included. Cholecystitis was the most common diagnosis (

Indexed as

cholecystectomycholecystitischoledocholithiasischolelithiasispancreatitis

Identifiers

PMID31281756
PMCPMC6605972
OpenAlexW2943436017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.