Evidence map›Paper›PMID 39712825›Full record

ArticleCureus2024

Anticipating Urgency: Predictive Factors for Early Intervention in Appendicular Perforation.

Arun K Singh, Shivani B Paruthy, Vaibhav Kuraria, Inzamam Ul Hoda, Dhananjay Khera, Mohit Dhawaria, Hinduja Raju, Abhinav Kumar, Singamsetty S Madhuri, Yogesh Saini

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Arun K SinghGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.
Shivani B ParuthyGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.
Vaibhav KurariaMedicine, Maulana Azad Medical College, New Delhi, IND.
Inzamam Ul HodaGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.
Dhananjay KheraGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.
Mohit DhawariaGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.
Hinduja RajuGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.
Abhinav KumarGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.
Singamsetty S MadhuriGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.
Yogesh SainiGeneral Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppendicular perforation is a severe complication of acute appendicitis, leading to increased morbidity and complex post-surgical outcomes. Early identification of patients at risk of perforation is crucial to improve clinical management and reduce complications. This study aims to review and summarize the predictive value of clinical, biochemical, and radiological factors in determining the likelihood of appendicular perforation.

methodsA comprehensive literature review was conducted to analyze key clinical, biochemical, and radiological markers associated with appendicular perforation. Clinical factors such as symptom duration, fever, and physical signs of peritonitis were examined. Biochemical markers, including white blood cell (WBC) count, hemoglobin, and serum creatinine, were evaluated for their diagnostic accuracy. Radiological imaging techniques, such as ultrasound (US), were assessed for their ability to detect perforation-related complications.

resultsThis study identifies key predictors of appendicular perforation, including age, pulse rate, abdominal rigidity, and peri-appendiceal collection. Peri-appendiceal collection emerged as a strong predictor (OR=7.09). Logistic regression and machine learning models showed moderate predictive power (AUC 0.54-0.58), with demographic trends influencing clinical outcomes.

Indexed as

abdominal sepsisacute appendicitis diagnosisacute perforated appendicitisdiagnosis of acute appendicitisperforated appendix vermiform

Identifiers

PMID39712825
PMCPMC11663019

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.