Evidence map›Paper›PMID 24958650›Full record

ArticleWiener klinische Wochenschrift2014

May mean platelet volume levels be a predictor in the diagnosis of pelvic inflammatory disease?

Adnan Incebiyik, Ahmet Seker, Mehmet Vural, Nese Gul Hilali, Aysun Camuzcuoglu, Hakan Camuzcuoglu

Abstract read
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In one paragraph

Article in Wiener klinische Wochenschrift, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

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  6. Alterations of the hematologic cells in synthetic cannabinoid users.Journal of clinical laboratory analysis · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Adnan IncebiyikFaculty of Medicine, Department of Gynecology and Obstetrics, Harran University, Yenisehir Campus, 63300, Sanlıurfa, Turkey, dr.aincebiyik@gmail.com.
Ahmet Seker
Mehmet Vural
Nese Gul Hilali
Aysun Camuzcuoglu
Hakan Camuzcuoglu
Harran University · TRYenişehir Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur aim in this study was to investigate whether mean platelet volume (MPV) value could be used as an early marker to predict pelvic inflammatory disease (PID).

methodsOverall, 44 patients with PID and 44 healthy women were included in the study. The control group consisted of 44 women who applied to the clinic for a routine gynaecological check-up, without chronic disease or a history of medication use. Owing to the fact that it would affect thrombocyte function, women who have the following conditions were excluded from the study: women who were taking anticoagulant therapy, oral contraceptives, nonsteroid anti-inflammatory medications and who had chronic diseases. The leukocyte count, platelet count, neutrophil ratio and MPV values were collected from PID and the control group. C reactive protein values of patients with PID were also noted.

resultsMPV values in patients with PID were lower than those in the control group. This reduction in MPV is statistically significant when the PID patient group is compared with the control group (p < 0.001). A negative correlation was discovered between platelet count and MPV values (p = 0.019, r = - 0.425). Receiver-operating curve analysis pointed out that MPV has greater area under curve value than neutrophil rate, leukocyte and platelet count (0.73, 0.64, 0.72 and 0.49 respectively).

conclusionSince the MPV value was significantly decreased in patients with PID, it may serve as an additional and even more valuable marker than leukocyte count in the diagnosis of PID.

Indexed as

Mean Platelet VolumeAdultBiomarkersBlood SedimentationCase-Control StudiesC-Reactive ProteinEarly DiagnosisFemaleHumansPelvic Inflammatory DiseasePlatelet CountPredictive Value of TestsBiomarkersC-Reactive Protein

Identifiers

PMID24958650
OpenAlexW5477391

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.