Evidence map›Paper›PMID 38152787›Full record

ArticleCureus2023

Frequency and Outcome of Pregnant Females Presenting With Thrombocytopenia at a Tertiary Care Hospital.

Hira Mumtaz, Raheela Danish, Tayiba Yousaf, Shazia Sehgal, Aiman Jawad, Syed M Ali Haider

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 3 countries.

Hira MumtazGynaecology and Obstetrics, Basildon University Hospital, National Health Service (NHS) Trust, Basildon, GBR.
Raheela DanishObstetrics and Gynecology, Jinnah Hospital, Lahore, PAK.
Tayiba YousafObstetrics and Gynecology, Salma Khalil Clinic, Narowal, PAK.
Shazia SehgalObstetrics and Gynecology, Fatima Jinnah Medical University, Lahore, PAK.
Aiman JawadMedicine, Rehman Hospital, Faisalabad, PAK.
Syed M Ali HaiderMedicine, Heavy Industries Taxila (HIT) Hospital, Taxila, PAK.
Fatima Jinnah Medical University · PKJinnah Postgraduate Medical Center · PKNational Archives and Records Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlatelet-related problems are more frequently discovered in women during pregnancy because screening is carried out as part of the initial clinic examination using automated blood counts. This study was done to find out the frequency and outcomes of pregnant females presenting with thrombocytopenia at a tertiary care hospital. METHODOLOGY: This cross-sectional study was conducted at the Department of Obstetrics and Gynecology, Jinnah Hospital, Lahore, Pakistan, from April 2023 to September 2023. This study involved 280 pregnant women presenting in the third trimester. Blood examination was acquired, and a platelet count less than 150x10

resultsIn a total of 280 pregnant females, the mean age and gestational age at the time of presentation were 29.34±4.38 years and 31.30±2.87 weeks, respectively. The mean BMI of the females was 27.97±4.72 kg/m

conclusionThe frequency of thrombocytopenia was 12.1% among pregnant females. The frequency of placental abruption, preterm delivery, need for blood transfusion, stillbirth, and poor Apgar score were all significantly higher among pregnant women with thrombocytopenia as compared to those with a normal platelet count, irrespective of the patient's age, parity, and BMI.

Indexed as

apgar scoreblood transfusionparityplacental abruptionpretermthrombocytopenia

Identifiers

PMID38152787
PMCPMC10751517
OpenAlexW4389051987

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.