Evidence map›Paper›PMID 33394358›Full record

ArticleUpdates in surgery2021

Development and validation of risk prediction score for incisional surgical site infection after appendectomy.

Sameh Hany Emile, Ahmed Hossam Elfallal, Samy Abbas Elbaz, Ahmed Magdy Elmetwally

Abstract read
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In one paragraph

Article in Updates in surgery, 2021. 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
2.2field-weighted citation impact, top 13% 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, 11 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Sameh Hany EmileColorectal Surgery Unit, General Surgery Department, Mansoura University Hospitals, Mansoura University, Mansoura, Egypt. sameh200@hotmail.com.ORCID http://orcid.org/0000-0001-7854-5244
Ahmed Hossam ElfallalColorectal Surgery Unit, General Surgery Department, Mansoura University Hospitals, Mansoura University, Mansoura, Egypt.
Samy Abbas ElbazColorectal Surgery Unit, General Surgery Department, Mansoura University Hospitals, Mansoura University, Mansoura, Egypt.
Ahmed Magdy ElmetwallyVascular Surgery Department, Mansoura University Hospitals, Mansoura University, Mansoura, Egypt.
Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical site infection (SSI) is a challenging and resource-consuming healthcare problem. Predicting the onset of SSI beforehand can help prevent or minimize its incidence. The present study aimed to determine the independent predictors of incisional SSI after open appendectomy using a multivariate analysis and to establish a predictive risk score of SSI after appendectomy. Records of eligible patients who underwent open appendectomy were reviewed. The characteristics and treatment outcomes of patients were collected and analyzed. Significant association between different variables and SSI after appendectomy was examined by univariate analysis. Then, variables with a significant association with SSI were entered into a multivariate binary logistic regression analysis to determine the significant independent predictors of SSI. The study included 343 patients (51.3% female). Incisional SSI was recorded in 44 (12.8%) patients. Univariate analysis revealed five parameters with a significant association with SSI, including BMI > 30 kg/m

Indexed as

AppendectomyAppendicitisFemaleHumansIncidenceMaleRisk FactorsSurgical Wound InfectionAppendectomyMultivariatePredictionScoreSurgical site infection

Identifiers

PMID33394358
OpenAlexW3120446416

What OpenQuestion holds

Textmetadata
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.