How to Interpret a Forest Plot

[@merrickmacneil1973]

this video is about to blow up.

[@Swarrenii]

You are a god sir! Thank you for this. My EBP class went over this and was able to get 90% of it but you brought it down to such layman terms that it makes TOTAL SENSE NOW!!! Thank you for this!!!!

[@atomictoasteryo1109]

Cris Kresser looked this video up when he got home. 😂😂😂

[@NamFlow]

Hopefully he did :-D because he is in no position to give other people paid advices with his level of knowledge. It was laughable seeing him embarrass himself so much. But hey, he has "master class" in everything so he must be right in everything he says... Gotta love people who got tons of certificates but don't have the foundational knowledge.

[@MrTommy10inch]

Here just in case James Wilks comes at me.

[@alfanscholz8663]

@fitaddiction 369 Sure, bro. Sure

[@dr.rajeevguptaprof.1560]

A simplified way to explain a rather difficult problem. Great! Please stay blessed

[@mahatmagandhi700]

Thank you for your simple yet propper explanation, as well as the easily readable example and visuals. Regards South Africa

[@UABEBMcourse]

2things: 1) the authors of the paper where I got the figure from chose the scale 2) it's based upon the results and the confidence intervals. The right side can go to infinity but the left side is more bounded because it is a ratio measure. There are limits of how small the lower end of a conf interval of a ratio can be. Hope this makes sense. If not I'll try another explanation

[@RishiSharma-by5iz]

sir can we add different type of study (case control, cross-section, cohort) in a single meta analysis ?

[@brams9524]

terry! thanks so much man. you explain things so clearly. amazing that you're helping students from all around the world.

[@a.michelle3032]

Thank you so much! This will help me on my final exam tomorrow.

[@shemarbean1515]

I love how every comment is about TGRE but I'm just here like "I really need to understand this for my degree"

[@Swarrenii]

I'm there with you. I'm in DPT school and EBP is by far my weakest point

[@qwertyui6009]

short simple and very informative sir

[@dbassir87]

Can we send this to Chris Kresser?

[@koolmi]

You are the best teacher on statistics !

[@grkblood]

@Chris Kresser

[@isaacshouldice8606]

This is so well summarized... where were you during my Research and Critical Appraisal class lol!

[@UABEBMcourse]

Confidence interval gives you a sense of the uncertainty in the estimate of the hazard ratio. I have a video on confidence intervals

[@jetmirzyberaj7088]

YOU ROCK! Thank you very much for this valuable work you do. Regards from Germany.

[@mattball7074]

Dr. Shaneyfelt, I am working on a systematic review (my first one) and this really helped! I appreciate it!

[@dileepkful]

Thanks for this useful video.I understood the concept which has been kind of vague for me over the years.

[@beaubandy2269]

Anybody else here because of Joe Rogan's latest podcast debate? #1393

[@BarefootBotanist]

Thank you for such a concise and understandable explanation of a forest plot!

[@alinaqvi1864]

Brilliant and outstanding .... Your explanations are splendid. Crisp and sleek.

[@janjaweedful]

Fabulous thanks Dear Terry . I really liked the way you demonstrated in a a simple way .

[@somcana]

Sir, I love you for your generosity to share knowledge with such efficiency.

[@franziskat.2753]

Thank you so much, very clear and simple explanation. NOW i can start to write my results. :D

[@Deadpool013]

Thank you. Like seriously.

[@Alice864u]

same

[@teshomeabebe2819]

I learn a lot from these series videos!

[@ed1pk]

Powerful Joe Rogan!

[@desneyvansteijn5093]

terry thanks for your help i understand it so much better terry we love you!!!!

[@dandoctor22]

Nice and Well summarized presentation

[@kalaiyukansathasivam1118]

thank you, it's very useful to get enough knowledge about forest plot.

[@ch3lly123]

This video was very helpful, thank you!

[@itsuniqkrys]

Glad I found your video series.. you have been so helpful to me in understanding most of these interpretations. Thank you Sir!

[@nehabansal6829]

Thanku so much my concepts are much much more clear

[@pungentprincess]

Thank you for this! Concise and well explained. Excited to check out your other videos.

[@dulcemariaponceruelas3252]

Thanks! Excellent video, greetings from Mexico!

[@melodies4him]

wow..thank you so much. this was like one of the most helpful videos ever made.

[@colerees3965]

I don't get it either, Chris.

[@abumarcus9521]

😂

[@MrProdigistry]

perfect video!! just what I needed. thank you

[@jessismith9263]

Concise and clear! Thank you!

[@UABEBMcourse]

it's an alternative way to express the weight that study was given in the metaanalysis is my understanding

[@jelenacatania3022]

Terry Shaneyfelt thank you!

[@filosofiadetalhista]

This explanation was amazing! Wow!!

[@ElyTvandRhymes]

Thank you. this was useful.

[@Dr.mike77]

That was awesome sir! Thank you for sharing

[@dentalmcqs7210]

Respect ,, you explained it better , easier

[@q_q123]

Super helpful. Thanks!

[@semantik95]

Very simple explanation. Thank you

[@wasafisafi612]

Thank you so much for your explanation

[@alanoodhamad1338]

very very helpful. defiantly I will watch the vedio for the heterogeneity . thanks alot

[@johnpavlic3292]

thank you daddy

[@MrTamzid25]

quite informative and helpful. Great job

[@alysonweiser4461]

This is so helpful! Thank you!

[@UABEBMcourse]

Just pay attention to the scale and the outcome and you can figure out if the finding favors control or intervention

[@erictanlaka8669]

Thanks. Very helpful videos!

[@TilleTheo]

How do you calculate the weight of each study?

[@ilovemydognamedpoptart6267]

very helpful! Because of this video I will get a better grade! Thank you :D

[@ddessert314]

I'm wondering why Study4, which had no events, was not assigned a weight into the Total. Study4 is included in the Total (I.e. 20+30+15+20+40+102=227), but seems to be assigned no Weight.

[@Missdoda]

Thank you this is so helpful

[@maryfeliu4027]

Thank you so much for your video. This was most useful!

[@kamilyabaljon7885]

thank your video its very helpfully. i have some question

[@lordthanoz]

thank you very much for your videos. They are very helpful and clear.

[@miraclemix]

Good explanation.

[@LittlePinch14]

Hi Terry Great explanation many thanks

[@AverageAhmad]

Great video. Thanks a lot.

[@songfrank6621]

Great video

[@roimarionuy5417]

how will you know which group is more precise based on the graph?

[@anushamandadi969]

very useful.thank you

[@aine9145]

thank you so much, really clear explanation

[@nicholasshaw2912]

Joe ROGAN sent me

[@shaahyna]

Very useful video. Thank you very much :)

[@faijano]

Thanks a lot.Really helpful!

[@kamilyabaljon7885]

if my results are i2 = 98%, that mean its heterogeneity, can I accept the results and publish. is different in the time line , its appearance on the first figure 0-2-4, second figure 0. 50, 100. Also, I found 2 p value which one is can I mention significant or non significant.

[@jessicaopie8809]

Thank you so much for this video!

[@ripalripal7550]

Hello sir First of all thank you so much for uploading such informative video on KZbin.i believe this would have helped all the learners. Dear sir..I have 5 forest plot would you please interpret for me..

[@coewayboulder]

Fantastic video!

[@elianabencosme2538]

Excellent!! Thank you very much

[@rajibsarker4424]

Nicely described, Thanks

[@fayslife9460]

i would like to know if this diamond had a value above 1 but on the control side... would that mean that there is an increased risk in control group or the case group

[@UABEBMcourse]

If Im interpreting your question correctly it should mean the risk is higher in the control group. It all depends on labelling of the axes, etc

[@DrKanhuCharanPatro]

please explain the effect size analysis

[@life6391]

What is the significance if a forest plot does not have the diamond? How do we interpret that forest plot?

[@eviii89]

super helpful, thank you!

[@VeganVeteranAtheist_CryAboutIt]

James wilks sent me here. 🤣 #bekind #bevegan

[@leticiacampoverde4420]

Thank you so much !!!!

[@dr.satyabratasahoo5644]

Marvellous

[@KentAcuna]

Thank you!

[@ahmedel-sayed8744]

kindly can u explain how can carry out all above tests by using SPSS

[@neftalivazquez1901]

Thanks Doc!

[@jelenacatania3022]

Thank you so much for the video. Question about gray boxes on the forest plot when gray boxes are superimposed on black solid boxes representing point estimates. What do these gray boxes represent? Khera R, Murad MH, Chandar AK, et al. Association of pharmacological treatments for obesity with weight loss and adverse events: a systematic review and meta-analysis. JAMA. doi:10.1001/jama.2016.7602

[@BioAwsome]

What does the confidence interval show in regards to the results?

[@thecoolriver]

brilliant explanation

[@akshitagulati9790]

Thankyou Sir :) REALLY REALLY HELPED

[@dh2950]

Thanks for a great video! Question: a lot of times the studies don't label at the bottom which side favors control vs exp Is it by convention that the left side favors exp and right favors control? Thanks

[@MrMinhas143]

Can you please tell me how to interpret in term of English ? Also how to interpret each study and the whole results at the end of forest plot?

[@zakariaahmed8534]

Thank you.

[@theflamekid]

Can you tell me more about the Z? What does it stand for?

[@vlogsibbu1294]

can we make forest plot for epidemiological studies?

[@winonamayhendrata2480]

Does the overall effect also called pooled OR / pooled RR in some paper?

[@fassikawkebede5261]

how can draw forest plot in sata

[@k.shailajaganesh3067]

If heterogeneity in a study is 95percent what does it mean?

[@anniz9148]

does the confidence interval on the forest plot determine how heterogenous the study is too? E.g. the bigger the confidence interval the larger the heterogeneity?

[@UABEBMcourse]

You can look at how much the confidence intervals of each individual study overlap with each other to get a sense of heterogeneity. If they are similar to each other in width and they line up there will be less heterogeneity. If they dont overlap there is more heterogeneity.