Evidence map›Paper›PMID 34156478›Full record

ArticleWorld journal of surgery2021

Prediction Model for Failure of Nonoperative Management of Uncomplicated Appendicitis in Adults.

Toshimichi Kobayashi, Eiji Hidaka, Itsuki Koganezawa, Masashi Nakagawa, Kei Yokozuka, Sigeto Ochiai, Takahiro Gunji, Yosuke Ozawa, Kosuke Hikita, Toru Sano and 4 more

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Article in World journal of surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Toshimichi KobayashiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Eiji HidakaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Itsuki KoganezawaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Masashi NakagawaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Kei YokozukaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Sigeto OchiaiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Takahiro GunjiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Yosuke OzawaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Kosuke HikitaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Toru SanoDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Koichi TomitaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Satoshi TabuchiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Naokazu ChibaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Sigeyuki KawachiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan. skawachi@tokyo-med.ac.jp.
Tokyo Medical University Hachioji Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediction of failure of nonoperative management (NOM) in uncomplicated appendicitis (UA) is difficult. This study aimed to establish a new prediction model for NOM failure in UA.

methodsWe included 141 adults with UA who received NOM as initial treatment. NOM failure was defined as conversion to operation during hospitalization. Independent predictors of NOM failure were identified using logistic regression analysis. A prediction model was established based on these independent predictors. Receiver operating characteristic (ROC) curve analysis and the Hosmer-Lemeshow test were used to assess the discrimination and calibration of the model, respectively, and risk stratification using the model was performed.

resultsAmong 141 patients, NOM was successful in 120 and unsuccessful in 21. Male sex, maximal diameter of the appendix, and the presence of fecalith were identified as independent predictors of NOM failure for UA. A prediction model with scores ranging from 0 to 3 was established using the three variables (male sex, maximal diameter of the appendix ≥ 15 mm, and the presence of fecalith). The area under the ROC curve for the new prediction model was 0.778, and the model had good calibration (P = 0.476). A score of 2 yielded a sensitivity of 71.4% and a specificity of 90.8%. Patients were stratified into low (0-1), moderate (2), and high (3) risk categories, which had NOM rates of 5.2%, 47.1%, and 77.8%, respectively.

conclusionsOur prediction model may predict NOM failure in UA with good diagnostic accuracy and help surgeons select appropriate treatments.

Indexed as

AppendicitisAppendixAdultHumansMaleRetrospective StudiesRisk FactorsROC Curve

Identifiers

PMID34156478
OpenAlexW3175611547

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.