Evidence map›Paper›PMID 41646531›Full record

ArticleData in brief2026

Towards sustainable management of

Michele Elia, Angelo Cardellicchio, Michele Paradiso, Giuseppe Veronico, Arianna Rana, Antonio Petitti, Vito Renò, Simone Pascuzzi, Annalisa Milella

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2026. 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

9 authors.

Michele EliaInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), Via G. Amendola 122 D-O, Bari, 70126, Italy.
Angelo CardellicchioInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), Via G. Amendola 122 D-O, Bari, 70126, Italy.
Michele ParadisoInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), Via G. Amendola 122 D-O, Bari, 70126, Italy.
Giuseppe VeronicoInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), Via G. Amendola 122 D-O, Bari, 70126, Italy.
Arianna RanaInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), Via G. Amendola 122 D-O, Bari, 70126, Italy.
Antonio PetittiInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), Via G. Amendola 122 D-O, Bari, 70126, Italy.
Vito RenòInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), Via G. Amendola 122 D-O, Bari, 70126, Italy.
Simone PascuzziDepartment of Soil, Plant and Food Science (DiSSPA), University of Bari Aldo Moro, Via Amendola 165/A, Bari, 70126, Italy.
Annalisa MilellaInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy (CNR), Via G. Amendola 122 D-O, Bari, 70126, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insects feeding on xylem sap, such as adult

Indexed as

Deep learningImage annotationImage segmentationPest managementSpittlebug foam detection

Identifiers

PMID41646531
PMCPMC12870797

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.