Evidence map›Paper›PMID 37416021›Full record

ArticleCureus2023

A Cross-Sectional Study of the Haematological Profile of Patients With Chronic Liver Disease (CLD).

Deepika Joshi, Mohamad Akram, Kunal Das, Mansi Kala

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 29% 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, 3 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

4 authors at 1 institution in 1 country.

Deepika JoshiInternal Medicine, Swami Rama Himalayan University, Dehradun, IND.
Mohamad AkramInternal Medicine, Swami Rama Himalayan University, Dehradun, IND.
Kunal DasPediatrics, Swami Rama Himalayan University, Dehradun, IND.
Mansi KalaPathology, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University (SRHU), Dehradun, IND.
Swami Rama Himalayan University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver keeps haematological parameters normal and preserves haemostasis by storing iron, vitamin B-12, and, folic acid, necessary for healthy haematopoiesis. Anaemia of various aetiologies affects approximately 75% of chronic liver disease (CLD) patients, specifically caused by iron deficiency, hypersplenism, chronic diseases, autoimmune haemolysis, folic acid deficiency, aplasticity, and as a side effect of antiviral drugs. This study sought to observe the derangements in haematological parameters in patients with CLD, analyse the spectrum of anaemia in patients with CLD, and predict CLD outcomes utilizing Child-Pugh Score. This cross-sectional observational research was carried out in the Department of General Medicine, Himalayan Institute of Medical Sciences (HIMS), Dehradun, India over the course of a year. The patients with CLD who were admitted to the ward participated in the study. Most patient's blood pictures reported normocytic normochromic with thrombocytopenia (TCP) (28.7%), macrocytic hypochromic with TCP (26%), microcytic hypochromic with TCP (13.3%) and macrocytic normochromic with TCP (9.3%). The incidence of anaemia was 85.3%: mild in 12.7% patients, moderate in 55.3% patients, and severe in 17.3% patients. Interestingly, this study also builds upon others suggesting that 85.9% of CLD patients have Class C Child-Pugh Score.

Indexed as

anaemiachild pugh scorechronic liver diseasehaemoglobinthrombocytopenia

Identifiers

PMID37416021
PMCPMC10322163
OpenAlexW4379467147

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.