Evidence map›Paper›PMID 28435653›Full record

ArticleHematology reports2017

Paroxysmal Nocturnal Hemoglobinuria in the Differential Diagnosis of Thrombocytopenia.

Fusun Gediz, Bahriye Kadriye Payzin, Ozlem Zekiye Cakmak, Yusuf Uzum, Damla Ernur, Fahri Sahin

Open access · goldAbstract readCase Reports
In one paragraph

Article in Hematology reports, 2017. 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, top 97% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Fusun GedizDepartment of Hematology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Izmir.
Bahriye Kadriye PayzinDepartment of Hematology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Izmir.
Ozlem Zekiye CakmakDepartment of Internal Medicine Izmir Katip Celebi University, Ataturk Training and Research Hospital, Izmir.
Yusuf UzumDepartment of Internal Medicine Izmir Katip Celebi University, Ataturk Training and Research Hospital, Izmir.
Damla ErnurDepartment of Hematology, Ege University, Izmir, Turkey.
Fahri SahinDepartment of Hematology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Izmir.
Izmir Kâtip Çelebi University · TREge University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paroxysmal nocturnal hemoglobinuria (PNH) is a disease which diagnosis may be delayed due to variable clinical findings. We describe herein a case of PNH in a 21 year old woman who admitted with complaints of chronic weakness, intermittent spontaneous ecchymoses, and an intermittent abdominal pain. On laboratory tests thrombocytopenia and iron deficiency anemia without any clinical findings were found. Flow cytometric evaluations showed a PNH clone of 15% for erythrocytes, 64% for monocytes, and 60% for granulocytes. The patient was diagnosed with PNH and an eculizumab therapy was initiated. Following initiation of eculizumab therapy, the frequency of abdominal pain attacks decreased, hemoglobin level normalized, and platelet values increased slightly. In patients submitting with a triad of symptoms such as thrombocytopenia, iron deficiency anemia, and abdominal pain attacks of unknown etiology we suggest considering PNH. We also encourage physicians to share their similar observations in order to raise the knowledge on infrequent presentations of PNH.

Indexed as

abdominal painparoxysmal nocturnal hemoglobinuriathrombocytopenia

Identifiers

PMID28435653
PMCPMC5379214
OpenAlexW2603961413

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.