Evidence map›Paper›PMID 37776486›Full record

ArticleIndian journal of pediatrics2024

Optimizing the Long-Term Therapy with Eculizumab (ECU) for Atypical Hemolytic Uremic Syndrome (aHUS).

Luisa Santangelo, Giuseppe Stefano Netti, Sebastiano Mazza, Francesca Zito, Valeria Catalano, Marida Martino, Diletta Domenica Torres, Vincenza Carbone, Elena Ranieri, Mario Giordano

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Indian journal of pediatrics, 2024. 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

10 authors.

Luisa SantangeloUnit of Pediatric Nephrology, University Hospital "Policlinico Consorziale - Giovanni XXIII", Bari, Italy.
Giuseppe Stefano NettiUnit of Clinical Pathology, Advanced Research Center on Kidney Aging (A.R.K.A.), Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 71122, Foggia, Italy. giuseppestefano.netti@unifg.it.ORCID 0000-0003-3495-2707
Sebastiano MazzaUnit of Pediatric Nephrology, University Hospital "Policlinico Consorziale - Giovanni XXIII", Bari, Italy.
Francesca ZitoUnit of Pediatric Nephrology, University Hospital "Policlinico Consorziale - Giovanni XXIII", Bari, Italy.
Valeria CatalanoUnit of Clinical Pathology, Advanced Research Center on Kidney Aging (A.R.K.A.), Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 71122, Foggia, Italy.
Marida MartinoUnit of Pediatric Nephrology, University Hospital "Policlinico Consorziale - Giovanni XXIII", Bari, Italy.
Diletta Domenica TorresUnit of Pediatric Nephrology, University Hospital "Policlinico Consorziale - Giovanni XXIII", Bari, Italy.
Vincenza CarboneUnit of Pediatric Nephrology, University Hospital "Policlinico Consorziale - Giovanni XXIII", Bari, Italy.
Elena RanieriUnit of Clinical Pathology, Advanced Research Center on Kidney Aging (A.R.K.A.), Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 71122, Foggia, Italy.
Mario GiordanoUnit of Clinical Pathology, Advanced Research Center on Kidney Aging (A.R.K.A.), Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 71122, Foggia, Italy.

Funding

University of Foggia PRA 2019University of Foggia PRA 2021
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Atypical Hemolytic Uremic SyndromeAntibodies, Monoclonal, HumanizedComplement Factor HHumansAntibodies, Monoclonal, HumanizedComplement Factor Heculizumab

Identifiers

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.