Evidence map›Paper›PMID 28894927›Full record

ArticleEuropean radiology2018

How to differentiate acute pelvic inflammatory disease from acute appendicitis ? A decision tree based on CT findings.

Kim El Hentour, Ingrid Millet, Emmanuelle Pages-Bouic, Fernanda Curros-Doyon, Nicolas Molinari, Patrice Taourel

Abstract read
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In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Medical management or surgery for acute cholecystitis: Enhancing treatment selection with decision trees.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2024
    Article
  4. Article
  5. Hospitalization Trends for Acute Appendicitis in Spain, 1998 to 2017.International journal of environmental research and public health · 2021
    Observational
  6. Article
  7. Article
  8. Article
  9. Review
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

6 authors at 1 institution in 1 country.

Kim El HentourDepartment of Medical Imaging, Lapeyronie Hospital, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier, France.
Ingrid MilletDepartment of Medical Imaging, Lapeyronie Hospital, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier, France. i-millet@chu-montpellier.fr.
Emmanuelle Pages-BouicDepartment of Medical Imaging, Lapeyronie Hospital, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier, France.
Fernanda Curros-DoyonDepartment of Medical Imaging, Lapeyronie Hospital, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier, France.
Nicolas MolinariDepartment of Medical Information and Statistics, UMR 5149 IMAG, CHU, Montpellier, France.
Patrice TaourelDepartment of Medical Imaging, Lapeyronie Hospital, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier, France.
Hôpital Lapeyronie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo construct a decision tree based on CT findings to differentiate acute pelvic inflammatory disease (PID) from acute appendicitis (AA) in women with lower abdominal pain and inflammatory syndrome. MATERIALS AND

methodsThis retrospective study was approved by our institutional review board and informed consent was waived. Contrast-enhanced CT studies of 109 women with acute PID and 218 age-matched women with AA were retrospectively and independently reviewed by two radiologists to identify CT findings predictive of PID or AA. Surgical and laboratory data were used for the PID and AA reference standard. Appropriate tests were performed to compare PID and AA and a CT decision tree using the classification and regression tree (CART) algorithm was generated.

resultsThe median patient age was 28 years (interquartile range, 22-39 years). According to the decision tree, an appendiceal diameter ≥ 7 mm was the most discriminating criterion for differentiating acute PID and AA, followed by a left tubal diameter ≥ 10 mm, with a global accuracy of 98.2 % (95 % CI: 96-99.4).

conclusionAppendiceal diameter and left tubal thickening are the most discriminating CT criteria for differentiating acute PID from AA. KEY POINTS: • Appendiceal diameter and marked left tubal thickening allow differentiating PID from AA. • PID should be considered if appendiceal diameter is < 7 mm. • Marked left tubal diameter indicates PID rather than AA when enlarged appendix. • No pathological CT findings were identified in 5 % of PID patients.

Indexed as

AlgorithmsDecision TreesAcute DiseaseAdolescentAdultAppendicitisAppendixDiagnosis, DifferentialFemaleHumansMiddle AgedPelvic Inflammatory DiseaseRetrospective StudiesTomography, X-Ray ComputedAppendicitisComputed tomographyFallopian tubePelvic inflammatory diseaseSalpingitis

Identifiers

PMID28894927
OpenAlexW2755104813

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.