Evidence map›Paper›PMID 38291377›Full record

Trial reportBMC cancer2024

Transcutaneous canine breast cancer detection in Tunisia: a pilot study.

Imtinene Belaid, Mohamed Fedy Baya, Saif Ben Ayed, Ali Ben Ayed, Jihen Maatoug, Nawel Zommit, Mohamed Anas Trabelsi, Noureddine Ben Chida, Hedi Khairi, Leila Ben Fatma and 6 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

16 authors at 3 institutions in 1 country.

Imtinene BelaidFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia. belaid_im@hotmail.fr.ORCID http://orcid.org/0000-0003-1673-321X
Mohamed Fedy BayaFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia.
Saif Ben AyedK9 Dog Security and Training Center, Sousse, Tunisia.
Ali Ben AyedK9 Dog Security and Training Center, Sousse, Tunisia.
Jihen MaatougFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Epidemiology, Université de Sousse, 4000, Sousse, Tunisia.
Nawel ZommitFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Epidemiology, Université de Sousse, 4000, Sousse, Tunisia.
Mohamed Anas TrabelsiVeterinary Clinic, 4054, Bouhsina, Sahloul, Tunisia.
Noureddine Ben ChidaNational School of Veterinary Medicine, Veterinary Research Institute, Tunis, Tunisia.
Hedi KhairiFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Gynecology, Université de Sousse, 4000, Sousse, Tunisia.
Leila Ben FatmaFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia.
Imene ChabchoubFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia.
Nouha AmmarFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia.
Rym BouriguaFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia.
Makrem HochlafFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia.
Faten EzzaariFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia.
Slim Ben AhmedFaculté de Médecine de Sousse, Farhat Hached University Hospital, Department of Medical Oncology, Association de Recherche et d'Information sur le Cancer du Centre Tunisien (ARIC), Université de Sousse, 4000, Sousse, Tunisia.
Hôpital Farhat Hached · TNUniversity of Sousse · TNHôpital Sahloul · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer in Tunisia is often diagnosed at a late stage with long delay in time to consultation and to diagnosis.The aim of this study is to estimate the sensitivity and specificity of the transcutaneous breast cancer detection by canine olfactionin Tunisian women and to identify the potential confounding factors.

methodsThis is a diagnostic case control study that took place from October 2021 to November 2022 in the Department of Medical Oncology at the University Hospital Farhat Hached of Sousse and in the security and training dog center located in Sousse (K9 Dog Center Security & Training). A two-year-old male Belgian Malinois was trained to detect breast cancer on skin secretion samples in compresses that had been worn overnight by women on their breast and then a double-blind testing was performed. There was no contact between women and the dog. From the mentioned responses of the dog, four parameters were calculated: sensitivity, specificity, Positive Predictive Value (PPV) and Negative Predictive Value (NPV).

resultsTwo hundred women were included in this trial: 100 breast cancer (BC) patients recruited from Farhat Hached University Hospital of Sousse and 100 healthy volunteers (HV).The calculated sensitivity was 84% (95% CI 78-89%) and the calculated specificity was 81% (95% CI 75-86%). The calculated predictive values were: PPV = 83,51% (95% CI 78,37-88,65%) and NPV = 81,55% (95% CI 76.17-86.93%). In the multivariate study, only four confounding factors of test's sensitivity were retained: age (OR = 1.210 [95% CI = 1.085-1.349]; p = 0.001), history of diabetes(OR = 0.017 [95% CI = 0.001-0.228]; p = 0.002), sampling at hospital (OR = 0.010 [95% CI = 0.003-0.464]; p = 0.010) and testing during chemotherapy courses (OR = 0.034 [95% CI = 0.003-0.404]; p = 0.007).For test's specificity, we retained the three following confounding factors: age (OR = 1,104 [95% CI = 1.021-1.195]; p = 0.014), history of benign mastopathy (OR = 0.243 [95% CI = 0.074-0.805]; p = 0.021)and history of arterial hypertension (OR = 0.194 [95% CI = 0.053-0.707]; p = 0.013).

conclusionThis is a pilot study that opens new avenues in developing a reliable cancer diagnostic tool that integrates the dog's olfactory ability to detect breast cancer using a transcutaneous sampling method. It could be a pre-test to select patients who are eligible to a screening mammogram, especially in low-income countries where there is no national mammography screening program. PACTR. ORG IDENTIFIER: PACTR202201864472288, registration date 11/01/2022.

Indexed as

Breast NeoplasmsAnimalsCase-Control StudiesChild, PreschoolDogsFemaleHumansMaleMammographyPilot ProjectsSensitivity and SpecificityTunisiaCancerCancer screening testDiagnosisSmellWorking dogs

Identifiers

PMID38291377
PMCPMC10826062
OpenAlexW4391351395

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.